10432861
10468
Nicolas Hug
14
Supervised Classification
17371
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(3)
8258411
cv
null
17371
error_score
NaN
17371
iid
"deprecated"
17371
n_iter
100
17371
n_jobs
-1
17371
param_distributions
{"l2_regularization": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._continuous_distns.reciprocal_gen", "a": -Infinity, "b": Infinity, "args": [0.0001, 1], "kwds": {}}}, "learning_rate": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._continuous_distns.reciprocal_gen", "a": -Infinity, "b": Infinity, "args": [0.0001, 1], "kwds": {}}}, "max_depth": [5, 6, 7, 8, 9, 1000], "max_leaf_nodes": [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], "min_samples_leaf": [2, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]}
17371
pre_dispatch
"2*n_jobs"
17371
random_state
0
17371
refit
true
17371
return_train_score
false
17371
scoring
null
17371
verbose
0
17371
l2_regularization
0.0
17372
learning_rate
0.1
17372
loss
"auto"
17372
max_bins
255
17372
max_depth
null
17372
max_iter
100
17372
max_leaf_nodes
31
17372
min_samples_leaf
20
17372
n_iter_no_change
null
17372
random_state
16220
17372
scoring
null
17372
tol
1e-07
17372
validation_fraction
0.1
17372
verbose
0
17372
warm_start
false
17372
openml-python
Sklearn_0.23.dev0.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
21788467
description
https://www.openml.org/data/download/21788467/description.xml
-1
21788468
predictions
https://www.openml.org/data/download/21788468/predictions.arff
-1
21788469
trace
https://www.openml.org/data/download/21788469/trace.arff
area_under_roc_curve
0.981613888888889 [0.999825,0.969006,0.997261,0.993089,0.982817,0.996269,0.944908,0.993447,0.999533,0.939983]
average_cost
0
f_measure
0.8462999712330819 [0.99,0.795918,0.954774,0.922693,0.849741,0.908642,0.595533,0.893112,0.964646,0.58794]
kappa
0.8294444444444444
kb_relative_information_score
0.8521994669329893
mean_absolute_error
0.032654566766380226
mean_prior_absolute_error
0.18000000000000554
weighted_recall
0.8465 [0.99,0.78,0.95,0.925,0.82,0.92,0.6,0.94,0.955,0.585]
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8468986000048733 [0.99,0.8125,0.959596,0.920398,0.88172,0.897561,0.591133,0.850679,0.97449,0.590909]
predictive_accuracy
0.8465
prior_entropy
3.3219280948872383
relative_absolute_error
0.18141425981321788
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.15727527688055895
root_relative_squared_error
0.5242509229351885
total_cost
0
unweighted_recall
0.8465 [0.99,0.78,0.95,0.925,0.82,0.92,0.6,0.94,0.955,0.585]
area_under_roc_curve
0.98775 [1,0.9875,0.996667,0.991389,0.981111,1,0.957778,0.997222,0.999444,0.966389]
area_under_roc_curve
0.9809444444444445 [1,0.976389,0.9975,0.976111,0.976389,0.987778,0.949167,0.995,0.998889,0.952222]
area_under_roc_curve
0.982388888888889 [0.999722,0.985833,1,0.990556,0.991944,0.994167,0.929167,0.993056,1,0.939444]
area_under_roc_curve
0.9920277777777777 [1,0.983056,0.995556,0.999444,0.996389,0.996389,0.979167,0.995556,1,0.974722]
area_under_roc_curve
0.9771944444444444 [1,0.938056,0.999722,0.979444,0.996389,0.998889,0.944722,0.990556,1,0.924167]
area_under_roc_curve
0.9844166666666667 [1,0.954722,1,0.997222,0.987222,0.996667,0.961389,0.993889,0.999722,0.953333]
area_under_roc_curve
0.9832777777777777 [1,0.966389,0.991111,0.997778,0.977778,0.996667,0.957222,0.991111,1,0.954722]
area_under_roc_curve
0.984388888888889 [1,0.984722,0.998611,0.999167,0.99,0.996389,0.940278,0.997778,0.998611,0.938333]
area_under_roc_curve
0.98425 [1,0.979167,1,0.999722,0.993889,0.996389,0.948333,0.995,1,0.93]
area_under_roc_curve
0.97625 [1,0.978889,0.997222,1,0.959444,0.999722,0.910556,0.994722,0.998333,0.923611]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.8800139291602708 [0.974359,0.818182,0.95,0.923077,0.923077,1,0.666667,0.9,0.926829,0.717949]
f_measure
0.8080052568574806 [1,0.810811,0.926829,0.857143,0.705882,0.857143,0.512821,0.863636,0.974359,0.571429]
f_measure
0.8269149807777149 [0.974359,0.8,0.974359,0.888889,0.809524,0.857143,0.512821,0.871795,0.97561,0.604651]
f_measure
0.890456820200918 [1,0.789474,0.974359,0.97561,0.869565,0.918919,0.780488,0.871795,0.974359,0.75]
f_measure
0.838415512561854 [1,0.702703,0.974359,0.926829,0.888889,0.909091,0.6,0.818182,1,0.564103]
f_measure
0.8606358186017689 [0.97561,0.842105,0.97561,0.9,0.864865,0.926829,0.695652,0.930233,0.95,0.545455]
f_measure
0.822697918219601 [1,0.789474,0.918919,0.930233,0.823529,0.883721,0.55,0.869565,1,0.461538]
f_measure
0.8648243498050943 [1,0.8,0.95,0.95,0.878049,0.894737,0.65,0.952381,0.923077,0.65]
f_measure
0.8638087335455756 [1,0.810811,1,0.952381,0.85,0.894737,0.555556,0.952381,1,0.622222]
f_measure
0.8015559646537048 [0.97561,0.790698,0.904762,0.918919,0.864865,0.95,0.418605,0.904762,0.918919,0.368421]
kappa
0.8666666666666667
kappa
0.788888888888889
kappa
0.8055555555555555
kappa
0.8777777777777778
kappa
0.8222222222222222
kappa
0.85
kappa
0.8055555555555555
kappa
0.85
kappa
0.85
kappa
0.7777777777777778
kb_relative_information_score
0.8785618244016332
kb_relative_information_score
0.8283631269527245
kb_relative_information_score
0.8334513946634656
kb_relative_information_score
0.8912896333349661
kb_relative_information_score
0.8331763954025413
kb_relative_information_score
0.8665116009206655
kb_relative_information_score
0.8460242107009849
kb_relative_information_score
0.8634794872759635
kb_relative_information_score
0.8719097249511978
kb_relative_information_score
0.8092272707254523
mean_absolute_error
0.027171269477142927
mean_absolute_error
0.04032037090408444
mean_absolute_error
0.037164719699797094
mean_absolute_error
0.02767778618559288
mean_absolute_error
0.03542757537402088
mean_absolute_error
0.028775266019964944
mean_absolute_error
0.03320726633307755
mean_absolute_error
0.02917850013870144
mean_absolute_error
0.027895367272886645
mean_absolute_error
0.039727546258533385
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
precision
0.8820551378446114 [1,0.75,0.95,0.947368,0.947368,1,0.684211,0.9,0.904762,0.736842]
precision
0.8144058341039765 [1,0.882353,0.904762,0.818182,0.857143,0.818182,0.526316,0.791667,1,0.545455]
precision
0.8329560066173339 [1,0.8,1,1,0.772727,0.818182,0.526316,0.894737,0.952381,0.565217]
precision
0.8961586658955081 [1,0.833333,1,0.952381,0.769231,1,0.761905,0.894737,1,0.75]
precision
0.8431748488869232 [1,0.764706,1,0.904762,1,0.833333,0.6,0.75,1,0.578947]
precision
0.8666846694084545 [0.952381,0.888889,0.952381,0.9,0.941176,0.904762,0.615385,0.869565,0.95,0.692308]
precision
0.8321900487003461 [1,0.833333,1,0.869565,1,0.826087,0.55,0.769231,1,0.473684]
precision
0.8658046631730842 [1,0.8,0.95,0.95,0.857143,0.944444,0.65,0.909091,0.947368,0.65]
precision
0.8679979203802732 [1,0.882353,1,0.909091,0.85,0.944444,0.625,0.909091,1,0.56]
precision
0.80901538217395 [0.952381,0.73913,0.863636,1,0.941176,0.95,0.391304,0.863636,1,0.388889]
predictive_accuracy
0.88
predictive_accuracy
0.81
predictive_accuracy
0.825
predictive_accuracy
0.89
predictive_accuracy
0.84
predictive_accuracy
0.865
predictive_accuracy
0.825
predictive_accuracy
0.865
predictive_accuracy
0.865
predictive_accuracy
0.8
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
relative_absolute_error
0.15095149709523864
relative_absolute_error
0.22400206057824715
relative_absolute_error
0.20647066499887298
relative_absolute_error
0.1537654788088495
relative_absolute_error
0.1968198631890051
relative_absolute_error
0.15986258899980543
relative_absolute_error
0.18448481296154218
relative_absolute_error
0.1621027785483415
relative_absolute_error
0.1549742626271482
relative_absolute_error
0.22070859032518572
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_squared_error
0.14347401246594957
root_mean_squared_error
0.16734433875632612
root_mean_squared_error
0.16428167853278788
root_mean_squared_error
0.12750277090143283
root_mean_squared_error
0.1688312076317295
root_mean_squared_error
0.15060655078215623
root_mean_squared_error
0.16240141714534204
root_mean_squared_error
0.15407689465966368
root_mean_squared_error
0.14718517123442093
root_mean_squared_error
0.1804358238366957
root_relative_squared_error
0.4782467082198322
root_relative_squared_error
0.5578144625210874
root_relative_squared_error
0.5476055951092933
root_relative_squared_error
0.4250092363381097
root_relative_squared_error
0.5627706921057654
root_relative_squared_error
0.5020218359405211
root_relative_squared_error
0.5413380571511405
root_relative_squared_error
0.5135896488655459
root_relative_squared_error
0.49061723744807006
root_relative_squared_error
0.6014527461223194
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
unweighted_recall
0.8799999999999999 [0.95,0.9,0.95,0.9,0.9,1,0.65,0.9,0.95,0.7]
unweighted_recall
0.8100000000000002 [1,0.75,0.95,0.9,0.6,0.9,0.5,0.95,0.95,0.6]
unweighted_recall
0.825 [0.95,0.8,0.95,0.8,0.85,0.9,0.5,0.85,1,0.65]
unweighted_recall
0.8899999999999999 [1,0.75,0.95,1,1,0.85,0.8,0.85,0.95,0.75]
unweighted_recall
0.8400000000000001 [1,0.65,0.95,0.95,0.8,1,0.6,0.9,1,0.55]
unweighted_recall
0.8649999999999999 [1,0.8,1,0.9,0.8,0.95,0.8,1,0.95,0.45]
unweighted_recall
0.825 [1,0.75,0.85,1,0.7,0.95,0.55,1,1,0.45]
unweighted_recall
0.865 [1,0.8,0.95,0.95,0.9,0.85,0.65,1,0.9,0.65]
unweighted_recall
0.8649999999999999 [1,0.75,1,1,0.85,0.85,0.5,1,1,0.7]
unweighted_recall
0.8 [1,0.85,0.95,0.85,0.8,0.95,0.45,0.95,0.85,0.35]
weighted_recall
0.88 [0.95,0.9,0.95,0.9,0.9,1,0.65,0.9,0.95,0.7]
weighted_recall
0.81 [1,0.75,0.95,0.9,0.6,0.9,0.5,0.95,0.95,0.6]
weighted_recall
0.825 [0.95,0.8,0.95,0.8,0.85,0.9,0.5,0.85,1,0.65]
weighted_recall
0.89 [1,0.75,0.95,1,1,0.85,0.8,0.85,0.95,0.75]
weighted_recall
0.84 [1,0.65,0.95,0.95,0.8,1,0.6,0.9,1,0.55]
weighted_recall
0.865 [1,0.8,1,0.9,0.8,0.95,0.8,1,0.95,0.45]
weighted_recall
0.825 [1,0.75,0.85,1,0.7,0.95,0.55,1,1,0.45]
weighted_recall
0.865 [1,0.8,0.95,0.95,0.9,0.85,0.65,1,0.9,0.65]
weighted_recall
0.865 [1,0.75,1,1,0.85,0.85,0.5,1,1,0.7]
weighted_recall
0.8 [1,0.85,0.95,0.85,0.8,0.95,0.45,0.95,0.85,0.35]