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Commit 3c2a2df3 authored by Baptiste Bauvin's avatar Baptiste Bauvin
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Rmd old results"

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2020-04-06 15:43:32,291 DEBUG: Start: Initializing monoview classifiers arguments
2020-04-06 15:43:32,291 DEBUG: Done: Initializing monoview classifiers arguments
2020-04-06 15:43:32,292 DEBUG: Start: Initializing monoview classifiers arguments
2020-04-06 15:43:32,292 DEBUG: Done: Initializing monoview classifiers arguments
2020-04-06 15:43:32,292 DEBUG: Start: Executing all the needed benchmarks
2020-04-06 15:43:32,292 DEBUG: Start: Benchmark initialization
2020-04-06 15:43:32,309 DEBUG: Done: Benchmark initialization
2020-04-06 15:43:32,309 DEBUG: Start: monoview benchmark
2020-04-06 15:43:32,316 DEBUG: Start: Loading data
2020-04-06 15:43:32,316 DEBUG: Done: Loading data
2020-04-06 15:43:32,316 DEBUG: Info: Classification - Database:digits View:digit_col_grad_0 train ratio:0.7495826377295493, CrossValidation k-folds: 2, cores:1, algorithm : decision_tree
2020-04-06 15:43:32,317 DEBUG: Start: Determine Train/Test split
2020-04-06 15:43:32,317 DEBUG: Info: Shape X_train:(1347, 64), Length of y_train:1347
2020-04-06 15:43:32,317 DEBUG: Info: Shape X_test:(450, 64), Length of y_test:450
2020-04-06 15:43:32,317 DEBUG: Done: Determine Train/Test split
2020-04-06 15:43:32,317 DEBUG: Start: Generate classifier args
2020-04-06 15:43:32,317 DEBUG: Done: Generate classifier args
2020-04-06 15:43:32,317 DEBUG: Start: Training
2020-04-06 15:43:32,327 DEBUG: Done: Training
2020-04-06 15:43:32,328 DEBUG: Start: Predicting
2020-04-06 15:43:32,329 DEBUG: Done: Predicting
2020-04-06 15:43:32,329 DEBUG: Info: Duration for training and predicting: 0.012481748999562114[s]
2020-04-06 15:43:32,329 DEBUG: Start: Getting results
2020-04-06 15:43:32,487 DEBUG: Done: Getting results
2020-04-06 15:43:32,487 DEBUG: Start: Saving preds
2020-04-06 15:43:32,488 INFO: Classification on digits for digit_col_grad_0 with decision_tree.
Database configuration :
- Database name : digits
- View name : digit_col_grad_0 View shape : (1797, 64)
- Learning Rate : 0.7495826377295493
- Labels used : digit_0, digit_1, digit_2, digit_3, digit_4, digit_5, digit_6, digit_7, digit_8, digit_9
- Number of cross validation folds : 2
Classifier configuration :
- DecisionTree with max_depth : 3, criterion : gini, splitter : best, random_state : <mtrand.RandomState object at 0x7f9b39ee4fc0>
- Executed on 1 core(s)
For Accuracy score using {}, (higher is better) :
- Score on train : 0.4929472902746845
- Score on test : 0.47555555555555556
For F1 score using average: micro, {} (higher is better) :
- Score on train : 0.4929472902746845
- Score on test : 0.47555555555555556
Test set confusion matrix :
╒═════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╕
│ │ digit_0 │ digit_1 │ digit_2 │ digit_3 │ digit_4 │ digit_5 │ digit_6 │ digit_7 │ digit_8 │ digit_9 │
╞═════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╡
│ digit_0 │ 41 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 4 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_1 │ 0 │ 0 │ 0 │ 0 │ 0 │ 14 │ 4 │ 2 │ 26 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_2 │ 1 │ 0 │ 0 │ 0 │ 0 │ 9 │ 1 │ 2 │ 31 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_3 │ 0 │ 0 │ 0 │ 0 │ 0 │ 2 │ 0 │ 4 │ 39 │ 1 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_4 │ 1 │ 0 │ 0 │ 0 │ 0 │ 2 │ 6 │ 5 │ 31 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_5 │ 0 │ 0 │ 0 │ 0 │ 0 │ 42 │ 0 │ 0 │ 4 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_6 │ 0 │ 0 │ 0 │ 0 │ 0 │ 3 │ 40 │ 0 │ 2 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_7 │ 0 │ 0 │ 0 │ 0 │ 0 │ 2 │ 1 │ 40 │ 2 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_8 │ 0 │ 0 │ 0 │ 0 │ 0 │ 1 │ 0 │ 5 │ 36 │ 1 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_9 │ 2 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 4 │ 24 │ 15 │
╘═════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╛
Classification took 0:00:00
Classifier Interpretation :
First featrue :
36 <= 0.5
Feature importances :
- Feature index : 21, feature importance : 0.26539503976060225
- Feature index : 36, feature importance : 0.22449217367674237
- Feature index : 42, feature importance : 0.20106225004356684
- Feature index : 60, feature importance : 0.17511746004319367
- Feature index : 28, feature importance : 0.13393307647589495
2020-04-06 15:43:32,494 INFO: Done: Saving results
2020-04-06 15:43:32,498 DEBUG: Start: Loading data
2020-04-06 15:43:32,498 DEBUG: Done: Loading data
2020-04-06 15:43:32,498 DEBUG: Info: Classification - Database:digits View:digit_col_grad_1 train ratio:0.7495826377295493, CrossValidation k-folds: 2, cores:1, algorithm : decision_tree
2020-04-06 15:43:32,498 DEBUG: Start: Determine Train/Test split
2020-04-06 15:43:32,498 DEBUG: Info: Shape X_train:(1347, 64), Length of y_train:1347
2020-04-06 15:43:32,498 DEBUG: Info: Shape X_test:(450, 64), Length of y_test:450
2020-04-06 15:43:32,498 DEBUG: Done: Determine Train/Test split
2020-04-06 15:43:32,498 DEBUG: Start: Generate classifier args
2020-04-06 15:43:32,498 DEBUG: Done: Generate classifier args
2020-04-06 15:43:32,498 DEBUG: Start: Training
2020-04-06 15:43:32,506 DEBUG: Done: Training
2020-04-06 15:43:32,506 DEBUG: Start: Predicting
2020-04-06 15:43:32,507 DEBUG: Done: Predicting
2020-04-06 15:43:32,507 DEBUG: Info: Duration for training and predicting: 0.009176647999993293[s]
2020-04-06 15:43:32,507 DEBUG: Start: Getting results
2020-04-06 15:43:32,678 DEBUG: Done: Getting results
2020-04-06 15:43:32,678 DEBUG: Start: Saving preds
2020-04-06 15:43:32,678 INFO: Classification on digits for digit_col_grad_1 with decision_tree.
Database configuration :
- Database name : digits
- View name : digit_col_grad_1 View shape : (1797, 64)
- Learning Rate : 0.7495826377295493
- Labels used : digit_0, digit_1, digit_2, digit_3, digit_4, digit_5, digit_6, digit_7, digit_8, digit_9
- Number of cross validation folds : 2
Classifier configuration :
- DecisionTree with max_depth : 3, criterion : gini, splitter : best, random_state : <mtrand.RandomState object at 0x7f9b39ee4fc0>
- Executed on 1 core(s)
For Accuracy score using {}, (higher is better) :
- Score on train : 0.5382331106161841
- Score on test : 0.5
For F1 score using average: micro, {} (higher is better) :
- Score on train : 0.5382331106161841
- Score on test : 0.5
Test set confusion matrix :
╒═════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╕
│ │ digit_0 │ digit_1 │ digit_2 │ digit_3 │ digit_4 │ digit_5 │ digit_6 │ digit_7 │ digit_8 │ digit_9 │
╞═════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╡
│ digit_0 │ 31 │ 4 │ 1 │ 0 │ 2 │ 0 │ 0 │ 2 │ 0 │ 5 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_1 │ 0 │ 40 │ 4 │ 0 │ 0 │ 0 │ 1 │ 1 │ 0 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_2 │ 0 │ 5 │ 39 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_3 │ 0 │ 2 │ 37 │ 0 │ 0 │ 1 │ 0 │ 0 │ 0 │ 6 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_4 │ 0 │ 9 │ 0 │ 0 │ 32 │ 0 │ 0 │ 2 │ 0 │ 2 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_5 │ 0 │ 3 │ 0 │ 0 │ 0 │ 25 │ 2 │ 2 │ 0 │ 14 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_6 │ 0 │ 39 │ 0 │ 0 │ 0 │ 0 │ 4 │ 0 │ 0 │ 2 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_7 │ 0 │ 4 │ 3 │ 0 │ 2 │ 0 │ 1 │ 35 │ 0 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_8 │ 0 │ 16 │ 25 │ 0 │ 0 │ 0 │ 2 │ 0 │ 0 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_9 │ 2 │ 10 │ 13 │ 0 │ 0 │ 0 │ 0 │ 1 │ 0 │ 19 │
╘═════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╛
Classification took 0:00:00
Classifier Interpretation :
First featrue :
46 <= -0.25
Feature importances :
- Feature index : 18, feature importance : 0.33862488179885464
- Feature index : 46, feature importance : 0.17815685839779588
- Feature index : 52, feature importance : 0.16841359350523372
- Feature index : 13, feature importance : 0.1600495585447605
- Feature index : 36, feature importance : 0.12766430531260284
- Feature index : 50, feature importance : 0.027090802440752286
2020-04-06 15:43:32,685 INFO: Done: Saving results
2020-04-06 15:43:32,686 DEBUG: Start: Loading data
2020-04-06 15:43:32,687 DEBUG: Done: Loading data
2020-04-06 15:43:32,687 DEBUG: Info: Classification - Database:digits View:digit_col_grad_2 train ratio:0.7495826377295493, CrossValidation k-folds: 2, cores:1, algorithm : decision_tree
2020-04-06 15:43:32,687 DEBUG: Start: Determine Train/Test split
2020-04-06 15:43:32,687 DEBUG: Info: Shape X_train:(1347, 64), Length of y_train:1347
2020-04-06 15:43:32,687 DEBUG: Info: Shape X_test:(450, 64), Length of y_test:450
2020-04-06 15:43:32,687 DEBUG: Done: Determine Train/Test split
2020-04-06 15:43:32,687 DEBUG: Start: Generate classifier args
2020-04-06 15:43:32,687 DEBUG: Done: Generate classifier args
2020-04-06 15:43:32,687 DEBUG: Start: Training
2020-04-06 15:43:32,695 DEBUG: Done: Training
2020-04-06 15:43:32,695 DEBUG: Start: Predicting
2020-04-06 15:43:32,696 DEBUG: Done: Predicting
2020-04-06 15:43:32,696 DEBUG: Info: Duration for training and predicting: 0.009334087000752334[s]
2020-04-06 15:43:32,696 DEBUG: Start: Getting results
2020-04-06 15:43:32,799 DEBUG: Done: Getting results
2020-04-06 15:43:32,799 DEBUG: Start: Saving preds
2020-04-06 15:43:32,799 INFO: Classification on digits for digit_col_grad_2 with decision_tree.
Database configuration :
- Database name : digits
- View name : digit_col_grad_2 View shape : (1797, 64)
- Learning Rate : 0.7495826377295493
- Labels used : digit_0, digit_1, digit_2, digit_3, digit_4, digit_5, digit_6, digit_7, digit_8, digit_9
- Number of cross validation folds : 2
Classifier configuration :
- DecisionTree with max_depth : 3, criterion : gini, splitter : best, random_state : <mtrand.RandomState object at 0x7f9b39ee4fc0>
- Executed on 1 core(s)
For Accuracy score using {}, (higher is better) :
- Score on train : 0.5011135857461024
- Score on test : 0.4822222222222222
For F1 score using average: micro, {} (higher is better) :
- Score on train : 0.5011135857461024
- Score on test : 0.4822222222222222
Test set confusion matrix :
╒═════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╕
│ │ digit_0 │ digit_1 │ digit_2 │ digit_3 │ digit_4 │ digit_5 │ digit_6 │ digit_7 │ digit_8 │ digit_9 │
╞═════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╡
│ digit_0 │ 43 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 1 │ 0 │ 1 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_1 │ 0 │ 0 │ 0 │ 0 │ 0 │ 8 │ 10 │ 23 │ 0 │ 5 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_2 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 10 │ 34 │ 0 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_3 │ 0 │ 0 │ 0 │ 0 │ 0 │ 1 │ 1 │ 5 │ 0 │ 39 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_4 │ 0 │ 0 │ 0 │ 0 │ 22 │ 3 │ 0 │ 17 │ 0 │ 3 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_5 │ 0 │ 0 │ 0 │ 0 │ 0 │ 35 │ 4 │ 0 │ 0 │ 7 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_6 │ 0 │ 0 │ 0 │ 0 │ 0 │ 2 │ 41 │ 2 │ 0 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_7 │ 0 │ 0 │ 0 │ 0 │ 0 │ 1 │ 2 │ 41 │ 0 │ 1 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_8 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 1 │ 32 │ 0 │ 10 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_9 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 10 │ 0 │ 35 │
╘═════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╛
Classification took 0:00:00
Classifier Interpretation :
First featrue :
29 <= 0.25
Feature importances :
- Feature index : 29, feature importance : 0.21981782251685447
- Feature index : 60, feature importance : 0.19832958949850743
- Feature index : 22, feature importance : 0.19525752565844157
- Feature index : 14, feature importance : 0.1690634685520564
- Feature index : 42, feature importance : 0.15875139048481657
- Feature index : 35, feature importance : 0.041528264543039574
- Feature index : 7, feature importance : 0.01725193874628402
2020-04-06 15:43:32,806 INFO: Done: Saving results
2020-04-06 15:43:32,806 DEBUG: Done: monoview benchmark
2020-04-06 15:43:32,806 DEBUG: Start: multiview arguments initialization
2020-04-06 15:43:32,806 DEBUG: Done: multiview arguments initialization
2020-04-06 15:43:32,806 DEBUG: Start: multiview benchmark
2020-04-06 15:43:32,806 DEBUG: Start: Initialize constants
2020-04-06 15:43:32,806 INFO: Info : Classification - Database : digits ; Views : digit_col_grad_0, digit_col_grad_1, digit_col_grad_2 ; Algorithm : weighted_linear_early_fusion ; Cores : 1, Train ratio : 0.7495826377295493, CV on 2 folds
2020-04-06 15:43:32,807 INFO: Info: Shape of digit_col_grad_0 :(1797, 64)
2020-04-06 15:43:32,808 INFO: Info: Shape of digit_col_grad_1 :(1797, 64)
2020-04-06 15:43:32,809 INFO: Info: Shape of digit_col_grad_2 :(1797, 64)
2020-04-06 15:43:32,809 DEBUG: Done: Initialize constants
2020-04-06 15:43:32,809 INFO: Info: Extraction duration 0.003537416458129883s
2020-04-06 15:43:32,810 DEBUG: Start: Getting train/test split
2020-04-06 15:43:32,810 DEBUG: Done: Getting train/test split
2020-04-06 15:43:32,810 DEBUG: Start: Getting classifiers modules
2020-04-06 15:43:32,810 DEBUG: Done: Getting classifiers modules
2020-04-06 15:43:32,810 DEBUG: Start: Optimizing hyperparameters
2020-04-06 15:43:32,836 DEBUG: Done: Optimizing hyperparameters
2020-04-06 15:43:32,836 DEBUG: Start: Fitting classifier
2020-04-06 15:43:32,874 DEBUG: Done: Fitting classifier
2020-04-06 15:43:32,874 DEBUG: Start: Predicting
2020-04-06 15:43:32,879 INFO: Done: Pertidcting
2020-04-06 15:43:32,879 INFO: Info: Classification duration 0.003537416458129883s
2020-04-06 15:43:32,879 INFO: Start: Result Analysis for weighted_linear_early_fusion
2020-04-06 15:43:32,894 INFO: Done: Result Analysis for weighted_linear_early_fusion
2020-04-06 15:43:32,894 DEBUG: Start: Saving preds
2020-04-06 15:43:32,894 INFO: Multiview classification on digits with early_fusion
Database configuration :
- Database name : digits
- Views : digit_col_grad_0, digit_col_grad_1, digit_col_grad_2
- Learning Rate : 0.7495826377295493
- Labels used : digit_0, digit_1, digit_2, digit_3, digit_4, digit_5, digit_6, digit_7, digit_8, digit_9
- Number of cross validation folds : 2
Classifier configuration :
- WeightedLinearEarlyFusion with monoview_classifier_name : decision_tree, monoview_classifier_config : {'criterion': 'gini', 'max_depth': 6, 'random_state': <mtrand.RandomState object at 0x7f9b39ee4fc0>, 'splitter': 'best'}
- Executed on 1 core(s)
For Accuracy score using {}, (higher is better) :
- Score on train : 0.7980697847067557
- Score on test : 0.76
For F1 score using average: micro, {} (higher is better) :
- Score on train : 0.7980697847067557
- Score on test : 0.76
Test set confusion matrix :
╒═════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╕
│ │ digit_0 │ digit_1 │ digit_2 │ digit_3 │ digit_4 │ digit_5 │ digit_6 │ digit_7 │ digit_8 │ digit_9 │
╞═════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╡
│ digit_0 │ 42 │ 1 │ 1 │ 1 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_1 │ 0 │ 37 │ 0 │ 2 │ 2 │ 0 │ 2 │ 0 │ 0 │ 3 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_2 │ 0 │ 10 │ 33 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 1 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_3 │ 0 │ 0 │ 3 │ 37 │ 0 │ 2 │ 2 │ 0 │ 0 │ 2 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_4 │ 0 │ 6 │ 0 │ 0 │ 36 │ 0 │ 0 │ 1 │ 0 │ 2 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_5 │ 0 │ 2 │ 0 │ 0 │ 0 │ 41 │ 1 │ 1 │ 0 │ 1 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_6 │ 0 │ 7 │ 0 │ 0 │ 1 │ 0 │ 36 │ 0 │ 1 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_7 │ 0 │ 0 │ 2 │ 0 │ 0 │ 0 │ 0 │ 42 │ 0 │ 1 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_8 │ 0 │ 25 │ 7 │ 0 │ 0 │ 1 │ 2 │ 1 │ 3 │ 4 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_9 │ 0 │ 3 │ 2 │ 1 │ 0 │ 1 │ 0 │ 3 │ 0 │ 35 │
╘═════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╛
Classification took 0:00:00
Classifier Interpretation :
2020-04-06 15:43:32,894 DEBUG: Start: Saving preds
2020-04-06 15:43:32,894 DEBUG: Start: Initialize constants
2020-04-06 15:43:32,894 INFO: Info : Classification - Database : digits ; Views : digit_col_grad_0, digit_col_grad_1, digit_col_grad_2 ; Algorithm : weighted_linear_late_fusion ; Cores : 1, Train ratio : 0.7495826377295493, CV on 2 folds
2020-04-06 15:43:32,896 INFO: Info: Shape of digit_col_grad_0 :(1797, 64)
2020-04-06 15:43:32,896 INFO: Info: Shape of digit_col_grad_1 :(1797, 64)
2020-04-06 15:43:32,897 INFO: Info: Shape of digit_col_grad_2 :(1797, 64)
2020-04-06 15:43:32,898 DEBUG: Done: Initialize constants
2020-04-06 15:43:32,898 INFO: Info: Extraction duration 0.0033233165740966797s
2020-04-06 15:43:32,898 DEBUG: Start: Getting train/test split
2020-04-06 15:43:32,898 DEBUG: Done: Getting train/test split
2020-04-06 15:43:32,898 DEBUG: Start: Getting classifiers modules
2020-04-06 15:43:32,898 DEBUG: Done: Getting classifiers modules
2020-04-06 15:43:32,898 DEBUG: Start: Optimizing hyperparameters
2020-04-06 15:43:32,915 DEBUG: Done: Optimizing hyperparameters
2020-04-06 15:43:32,915 DEBUG: Start: Fitting classifier
2020-04-06 15:43:33,614 DEBUG: Done: Fitting classifier
2020-04-06 15:43:33,614 DEBUG: Start: Predicting
2020-04-06 15:43:33,852 INFO: Done: Pertidcting
2020-04-06 15:43:33,852 INFO: Info: Classification duration 0.0033233165740966797s
2020-04-06 15:43:33,852 INFO: Start: Result Analysis for weighted_linear_late_fusion
2020-04-06 15:43:33,869 INFO: Done: Result Analysis for weighted_linear_late_fusion
2020-04-06 15:43:33,869 DEBUG: Start: Saving preds
2020-04-06 15:43:33,869 INFO: Multiview classification on digits with weighted_linear_late_fusion
Database configuration :
- Database name : digits
- Views : digit_col_grad_0, digit_col_grad_1, digit_col_grad_2
- Learning Rate : 0.7495826377295493
- Labels used : digit_0, digit_1, digit_2, digit_3, digit_4, digit_5, digit_6, digit_7, digit_8, digit_9
- Number of cross validation folds : 2
Classifier configuration :
- multiclass_adaptation : MultiviewOVOWrapper, WeightedLinearLateFusion with classifiers_names : decision_tree, classifier_configs : {'decision_tree': {'max_depth': 3}}, weights : None, rs : None
- Executed on 1 core(s)
For Accuracy score using {}, (higher is better) :
- Score on train : 0.9896065330363771
- Score on test : 0.9177777777777778
For F1 score using average: micro, {} (higher is better) :
- Score on train : 0.9896065330363771
- Score on test : 0.9177777777777778
Test set confusion matrix :
╒═════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╕
│ │ digit_0 │ digit_1 │ digit_2 │ digit_3 │ digit_4 │ digit_5 │ digit_6 │ digit_7 │ digit_8 │ digit_9 │
╞═════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╡
│ digit_0 │ 42 │ 0 │ 0 │ 0 │ 2 │ 0 │ 0 │ 0 │ 1 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_1 │ 0 │ 42 │ 0 │ 0 │ 0 │ 1 │ 0 │ 0 │ 2 │ 1 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_2 │ 0 │ 0 │ 41 │ 0 │ 0 │ 0 │ 0 │ 0 │ 3 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_3 │ 0 │ 0 │ 2 │ 40 │ 0 │ 0 │ 0 │ 2 │ 0 │ 2 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_4 │ 0 │ 2 │ 0 │ 0 │ 41 │ 0 │ 0 │ 2 │ 0 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_5 │ 0 │ 0 │ 0 │ 0 │ 1 │ 42 │ 0 │ 0 │ 0 │ 3 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_6 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 44 │ 0 │ 1 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_7 │ 0 │ 0 │ 0 │ 0 │ 1 │ 0 │ 0 │ 43 │ 1 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_8 │ 0 │ 2 │ 2 │ 0 │ 0 │ 0 │ 0 │ 2 │ 37 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_9 │ 1 │ 0 │ 0 │ 1 │ 0 │ 0 │ 0 │ 1 │ 1 │ 41 │
╘═════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╛
Classification took 0:00:00
Classifier Interpretation :
Multiclass wrapper is not interpretable yet
2020-04-06 15:43:33,870 DEBUG: Start: Saving preds
2020-04-06 15:43:33,870 DEBUG: Done: multiview benchmark
2020-04-06 15:43:33,871 DEBUG: Start: Analyzing all results
2020-04-06 15:43:34,782 DEBUG: Start: Score graph generation for accuracy_score*
2020-04-06 15:43:35,890 DEBUG: Done: Score graph generation for accuracy_score*
2020-04-06 15:43:35,890 DEBUG: Start: Score graph generation for f1_score
2020-04-06 15:43:36,560 DEBUG: Done: Score graph generation for f1_score
2020-04-06 15:43:36,560 DEBUG: Start: Label analysis figure generation
2020-04-06 15:43:36,593 DEBUG: locator: <matplotlib.ticker.FixedLocator object at 0x7f9afbda3710>
2020-04-06 15:43:36,594 DEBUG: Using fixed locator on colorbar
2020-04-06 15:43:36,595 DEBUG: Setting pcolormesh
2020-04-06 15:43:38,561 DEBUG: Done: Label analysis figures generation
2020-04-06 15:43:39,525 DEBUG: Done: Analyzing all results
2020-04-06 15:43:39,525 DEBUG: Done: Executing all the needed benchmarks
2020-04-06 15:43:39,525 DEBUG: Start: Analyzing predictions
2020-04-06 15:43:39,526 DEBUG: Start: Analyzing all results
2020-04-06 15:43:40,429 DEBUG: Start: Score graph generation for accuracy_score*
2020-04-06 15:43:41,167 DEBUG: Done: Score graph generation for accuracy_score*
2020-04-06 15:43:41,168 DEBUG: Start: Score graph generation for f1_score
2020-04-06 15:43:41,841 DEBUG: Done: Score graph generation for f1_score
2020-04-06 15:43:41,842 DEBUG: Start: Label analysis figure generation
2020-04-06 15:43:41,877 DEBUG: locator: <matplotlib.ticker.FixedLocator object at 0x7f9afb7c4630>
2020-04-06 15:43:41,877 DEBUG: Using fixed locator on colorbar
2020-04-06 15:43:41,879 DEBUG: Setting pcolormesh
2020-04-06 15:43:43,788 DEBUG: Done: Label analysis figures generation
2020-04-06 15:43:44,829 DEBUG: Done: Analyzing all results
2020-04-06 15:43:44,829 DEBUG: Done: Analyzing predictions
summit/examples/results/example_0/digits/result_example/config_file.yml deleted 100644 → 0
+ 0
− 40
View file @ f423d881
add_noise: false
algos_monoview: [decision_tree]
algos_multiview: [weighted_linear_early_fusion, weighted_linear_late_fusion]
classes: null
debug: false
decision_tree: {max_depth: 3}
file_type: .hdf5
full: true
hps_args: {}
hps_iter: 1
hps_kwargs: {equivalent_draws: true, n_iter: 10}
hps_type: None
label: example_0
log: true
metric_princ: accuracy_score
metrics:
accuracy_score: {}
f1_score: {average: micro}
name: [digits]
nb_class: null
nb_cores: 1
nb_folds: 2
nice: 0
noise_std: 0.0
pathf: examples/data/
random_state: 42
res_dir: examples/results/example_0/
split: 0.25
stats_iter: 1
track_tracebacks: true
type: [monoview, multiview]
views: null
weighted_linear_early_fusion:
monoview_classifier_config:
decision_tree: {max_depth: 6}
monoview_classifier_name: decision_tree
weighted_linear_late_fusion:
classifier_configs:
decision_tree: {max_depth: 3}
classifiers_names: decision_tree
summit/examples/results/example_0/digits/result_example/decision_tree/digit_col_grad_0/decision_tree-digits-digit_col_grad_0-confusion_matrix.csv deleted 100644 → 0
+ 0
− 10
View file @ f423d881
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summit/examples/results/example_0/digits/result_example/decision_tree/digit_col_grad_0/decision_tree-digits-digit_col_grad_0-summary.txt deleted 100644 → 0
+ 0
− 61
View file @ f423d881
Classification on digits for digit_col_grad_0 with decision_tree.
Database configuration :
- Database name : digits
- View name : digit_col_grad_0 View shape : (1797, 64)
- Learning Rate : 0.7495826377295493
- Labels used : digit_0, digit_1, digit_2, digit_3, digit_4, digit_5, digit_6, digit_7, digit_8, digit_9
- Number of cross validation folds : 2
Classifier configuration :
- DecisionTree with max_depth : 3, criterion : gini, splitter : best, random_state : <mtrand.RandomState object at 0x7f9b39ee4fc0>
- Executed on 1 core(s)
For Accuracy score using {}, (higher is better) :
- Score on train : 0.4929472902746845
- Score on test : 0.47555555555555556
For F1 score using average: micro, {} (higher is better) :
- Score on train : 0.4929472902746845
- Score on test : 0.47555555555555556
Test set confusion matrix :
╒═════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╕
│ │ digit_0 │ digit_1 │ digit_2 │ digit_3 │ digit_4 │ digit_5 │ digit_6 │ digit_7 │ digit_8 │ digit_9 │
╞═════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╡
│ digit_0 │ 41 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 4 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_1 │ 0 │ 0 │ 0 │ 0 │ 0 │ 14 │ 4 │ 2 │ 26 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_2 │ 1 │ 0 │ 0 │ 0 │ 0 │ 9 │ 1 │ 2 │ 31 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_3 │ 0 │ 0 │ 0 │ 0 │ 0 │ 2 │ 0 │ 4 │ 39 │ 1 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_4 │ 1 │ 0 │ 0 │ 0 │ 0 │ 2 │ 6 │ 5 │ 31 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_5 │ 0 │ 0 │ 0 │ 0 │ 0 │ 42 │ 0 │ 0 │ 4 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_6 │ 0 │ 0 │ 0 │ 0 │ 0 │ 3 │ 40 │ 0 │ 2 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_7 │ 0 │ 0 │ 0 │ 0 │ 0 │ 2 │ 1 │ 40 │ 2 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_8 │ 0 │ 0 │ 0 │ 0 │ 0 │ 1 │ 0 │ 5 │ 36 │ 1 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_9 │ 2 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 4 │ 24 │ 15 │
╘═════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╛
Classification took 0:00:00
Classifier Interpretation :
First featrue :
36 <= 0.5
Feature importances :
- Feature index : 21, feature importance : 0.26539503976060225
- Feature index : 36, feature importance : 0.22449217367674237
- Feature index : 42, feature importance : 0.20106225004356684
- Feature index : 60, feature importance : 0.17511746004319367
- Feature index : 28, feature importance : 0.13393307647589495
summit/examples/results/example_0/digits/result_example/decision_tree/digit_col_grad_0/decision_tree-digits-digit_col_grad_0-test_labels.csv deleted 100644 → 0
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summit/examples/results/example_0/digits/result_example/decision_tree/digit_col_grad_1/decision_tree-digits-digit_col_grad_1-confusion_matrix.csv deleted 100644 → 0
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summit/examples/results/example_0/digits/result_example/decision_tree/digit_col_grad_1/decision_tree-digits-digit_col_grad_1-summary.txt deleted 100644 → 0
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View file @ f423d881
Classification on digits for digit_col_grad_1 with decision_tree.
Database configuration :
- Database name : digits
- View name : digit_col_grad_1 View shape : (1797, 64)
- Learning Rate : 0.7495826377295493
- Labels used : digit_0, digit_1, digit_2, digit_3, digit_4, digit_5, digit_6, digit_7, digit_8, digit_9
- Number of cross validation folds : 2
Classifier configuration :
- DecisionTree with max_depth : 3, criterion : gini, splitter : best, random_state : <mtrand.RandomState object at 0x7f9b39ee4fc0>
- Executed on 1 core(s)
For Accuracy score using {}, (higher is better) :
- Score on train : 0.5382331106161841
- Score on test : 0.5
For F1 score using average: micro, {} (higher is better) :
- Score on train : 0.5382331106161841
- Score on test : 0.5
Test set confusion matrix :
╒═════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╤═══════════╕
│ │ digit_0 │ digit_1 │ digit_2 │ digit_3 │ digit_4 │ digit_5 │ digit_6 │ digit_7 │ digit_8 │ digit_9 │
╞═════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╪═══════════╡
│ digit_0 │ 31 │ 4 │ 1 │ 0 │ 2 │ 0 │ 0 │ 2 │ 0 │ 5 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_1 │ 0 │ 40 │ 4 │ 0 │ 0 │ 0 │ 1 │ 1 │ 0 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_2 │ 0 │ 5 │ 39 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_3 │ 0 │ 2 │ 37 │ 0 │ 0 │ 1 │ 0 │ 0 │ 0 │ 6 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_4 │ 0 │ 9 │ 0 │ 0 │ 32 │ 0 │ 0 │ 2 │ 0 │ 2 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_5 │ 0 │ 3 │ 0 │ 0 │ 0 │ 25 │ 2 │ 2 │ 0 │ 14 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_6 │ 0 │ 39 │ 0 │ 0 │ 0 │ 0 │ 4 │ 0 │ 0 │ 2 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_7 │ 0 │ 4 │ 3 │ 0 │ 2 │ 0 │ 1 │ 35 │ 0 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_8 │ 0 │ 16 │ 25 │ 0 │ 0 │ 0 │ 2 │ 0 │ 0 │ 0 │
├─────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤
│ digit_9 │ 2 │ 10 │ 13 │ 0 │ 0 │ 0 │ 0 │ 1 │ 0 │ 19 │
╘═════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╧═══════════╛
Classification took 0:00:00
Classifier Interpretation :
First featrue :
46 <= -0.25
Feature importances :
- Feature index : 18, feature importance : 0.33862488179885464
- Feature index : 46, feature importance : 0.17815685839779588
- Feature index : 52, feature importance : 0.16841359350523372
- Feature index : 13, feature importance : 0.1600495585447605
- Feature index : 36, feature importance : 0.12766430531260284
- Feature index : 50, feature importance : 0.027090802440752286
summit/examples/results/example_0/digits/result_example/decision_tree/digit_col_grad_1/decision_tree-digits-digit_col_grad_1-test_labels.csv deleted 100644 → 0
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