Commit fdc3a1d2 authored by leo.bouscarrat's avatar leo.bouscarrat
Browse files

Merge branch '17-adding-new-datasets' of...

Merge branch '17-adding-new-datasets' of https://gitlab.lis-lab.fr/luc.giffon/bolsonaro into 17-adding-new-datasets
parents 858042ae 1b84a5c6
{
"scorer": "neg_mean_squared_error",
"best_score_train": -13.33228274304088,
"best_score_test": -13.650326577972058,
"best_parameters": {
"max_features": "auto",
"min_samples_leaf": 1,
"max_depth": 20,
"n_estimators": 1000
},
"random_seed": [
1812,
1844,
1376,
383,
310,
1620,
54,
1502,
324,
1536,
1202,
1069,
645,
1706,
423
]
}
\ No newline at end of file
{
"scorer": "accuracy",
"best_score_train": 0.9562271062271059,
"best_score_test": 0.9514619883040936,
"best_parameters": {
"max_depth": 20,
"min_samples_leaf": 1,
"n_estimators": 1000,
"max_features": "log2"
},
"random_seed": [
1505,
5,
484,
284,
289,
1014,
1752,
497,
1350,
781,
408,
256,
1494,
1940,
842
]
}
\ No newline at end of file
{
"experiment_configuration": null,
"experiment_configuration_path": "experiments",
"dataset_name": "california_housing",
"normalize_D": false,
"dataset_normalizer": "standard",
"forest_size": null,
"extracted_forest_size_samples": 5,
"extracted_forest_size_stop": 0.1,
"models_dir": "./models",
"dev_size": 0.2,
"test_size": 0.2,
"random_seed_number": 1,
"seeds": [
1,
2,
3
],
"subsets_used": "train,dev",
"normalize_weights": false,
"verbose": false,
"skip_best_hyperparams": false,
"save_experiment_configuration": [
"1",
"none_with_params"
],
"job_number": -1,
"extraction_strategy": "none",
"extracted_forest_size": [
16,
33,
50,
66,
83
],
"experiment_id": 26
}
\ No newline at end of file
{
"scorer": "neg_mean_squared_error",
"best_score_train": -0.2535049905518054,
"best_score_test": -0.24128661227361273,
"best_parameters": {
"max_features": "log2",
"min_samples_leaf": 1,
"n_estimators": 1000,
"max_depth": 18
},
"random_seed": [
1012,
529,
42
]
}
\ No newline at end of file
{
"scorer": "neg_mean_squared_error",
"best_score_train": -3565.203897624773,
"best_score_test": -3305.635542701523,
"best_parameters": {
"max_features": "auto",
"min_samples_leaf": 1,
"max_depth": 15,
"n_estimators": 108
},
"random_seed": [
661,
1004,
469,
1399,
32,
992,
312,
895,
170,
913,
347,
787,
1596,
752,
1093
]
}
\ No newline at end of file
{
"scorer": "neg_mean_squared_error",
"best_score_train": -627872.5455188936,
"best_score_test": -551230.808602097,
"best_parameters": {
"max_features": "auto",
"min_samples_leaf": 1,
"max_depth": 12,
"n_estimators": 429
},
"random_seed": [
83,
1000,
1262,
1117,
1899,
1378,
1904,
1661,
57,
1143,
1350,
871,
1030,
1585,
745
]
}
\ No newline at end of file
{
"scorer": "accuracy",
"best_score_train": 0.9667536988685814,
"best_score_test": 0.9738888888888889,
"best_parameters": {
"max_features": "sqrt",
"min_samples_leaf": 1,
"n_estimators": 1000,
"max_depth": 20
},
"random_seed": [
1,
103,
519,
213,
953
]
}
\ No newline at end of file
......@@ -7,17 +7,13 @@
"dataset_normalizer": "standard",
"forest_size": null,
"extracted_forest_size_samples": 5,
"extracted_forest_size_stop": 0.05,
"extracted_forest_size_stop": 0.4,
"models_dir": "models/iris/stage1",
"dev_size": 0.2,
"test_size": 0.2,
"random_seed_number": 1,
"seeds": [
1,
2,
3,
4,
5
1
],
"subsets_used": "train,dev",
"normalize_weights": false,
......@@ -30,10 +26,10 @@
"job_number": -1,
"extraction_strategy": "omp",
"extracted_forest_size": [
8,
17,
25,
33,
42
7,
13,
20,
27,
33
]
}
\ No newline at end of file
{
"scorer": "accuracy",
"best_score_train": 0.9541666666666668,
"best_score_test": 0.9155555555555556,
"best_parameters": {
"max_features": "sqrt",
"min_samples_leaf": 1,
"max_depth": 1,
"n_estimators": 1000
},
"random_seed": [
771,
577,
1262,
261,
1942,
121,
1710,
633,
1852,
821,
423,
574,
1452,
68,
624
]
}
\ No newline at end of file
{
"scorer": "accuracy",
"best_score_train": 0.6231060606060606,
"best_score_test": 0.6174242424242423,
"best_parameters": {
"min_samples_leaf": 1,
"n_estimators": 1000,
"max_depth": 16,
"max_features": "auto"
},
"random_seed": [
226,
674,
1639
]
}
\ No newline at end of file
{
"scorer": "neg_mean_squared_error",
"best_score_train": -223.81438159498393,
"best_score_test": -262.4415311793658,
"best_parameters": {
"max_depth": 1,
"min_samples_leaf": 1,
"max_features": "sqrt",
"n_estimators": 1000
},
"random_seed": [
1109,
509,
686,
1657,
922,
502,
1414,
1259,
1256,
1923,
1813,
1854,
136,
1129,
777
]
}
\ No newline at end of file
{
"scorer": "accuracy",
"best_score_train": 0.8890625,
"best_score_test": 0.89,
"best_parameters": {
"max_features": "log2",
"min_samples_leaf": 1,
"n_estimators": 1000,
"max_depth": 18
},
"random_seed": [
899,
249,
1367,
942,
846,
1576,
285,
839,
1974,
1216,
540,
1292,
1642,
712,
1511
]
}
\ No newline at end of file
{
"experiment_id": 3,
"experiment_configuration": null,
"experiment_configuration_path": "experiments",
"dataset_name": "steel-plates",
"normalize_D": false,
"dataset_normalizer": "standard",
"forest_size": null,
"extracted_forest_size_samples": 5,
"extracted_forest_size_stop": 0.4,
"models_dir": "models/steel/stage1",
"dev_size": 0.2,
"test_size": 0.2,
"random_seed_number": 1,
"seeds": [
1,
2,
3,
4,
5
],
"subsets_used": "train,dev",
"normalize_weights": false,
"verbose": false,
"skip_best_hyperparams": false,
"save_experiment_configuration": [
"1",
"omp_with_params"
],
"job_number": -1,
"extraction_strategy": "omp",
"extracted_forest_size": [
7,
13,
20,
27,
33
]
}
\ No newline at end of file
{
"scorer": "accuracy",
"best_score_train": 0.9846607669616517,
"best_score_test": 0.9796296296296295,
"best_parameters": {
"max_depth": 20,
"min_samples_leaf": 1,
"n_estimators": 1000,
"max_features": "log2"
},
"random_seed": [
1431,
826,
1913,
168,
871,
1691,
1482,
1273,
255,
805,
1671,
448,
1217,
1213,
1160
]
}
\ No newline at end of file
Supports Markdown
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment