9996031
7518
Thomas Boquet
145804
Supervised Classification
8887
sklearn.ensemble.forest.RandomForestClassifier(47)
7920896
bootstrap
true
8887
class_weight
null
8887
criterion
"gini"
8887
max_depth
15
8887
max_features
7
8887
max_leaf_nodes
null
8887
min_impurity_decrease
0.0
8887
min_impurity_split
null
8887
min_samples_leaf
2
8887
min_samples_split
3
8887
min_weight_fraction_leaf
0.0
8887
n_estimators
500
8887
n_jobs
4
8887
oob_score
false
8887
random_state
0
8887
verbose
0
8887
warm_start
false
8887
openml-python
Sklearn_0.20.2.
50
tic-tac-toe
https://www.openml.org/data/download/50/dataset_50_tic-tac-toe.arff
-1
20912583
description
https://api.openml.org/data/download/20912583/description.xml
-1
20912585
predictions
https://api.openml.org/data/download/20912585/predictions.arff
area_under_roc_curve
0.9997016821278726 [0.999702,0.999702]
average_cost
0
f_measure
0.9575544298166893 [0.935897,0.96904]
kappa
0.9051259705276501
kb_relative_information_score
685.179686976845
mean_absolute_error
0.15243439258491448
mean_prior_absolute_error
0.45300756784968915
number_of_instances
958 [332,626]
precision
0.9607540734889378 [1,0.93994]
predictive_accuracy
0.9582463465553236
prior_entropy
0.9312461581068427
recall
0.9582463465553236 [0.879518,1]
relative_absolute_error
0.3364941413859408
root_mean_prior_squared_error
0.47587270721768155
root_mean_squared_error
0.20886383549359577
root_relative_squared_error
0.4389069436546901
total_cost
0
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9995189995189996 [0.999519,0.999519]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9990224828934506 [0.999022,0.999022]
area_under_roc_curve
0.9995112414467253 [0.999511,0.999511]
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
0.9895442156268928 [0.984615,0.992126]
f_measure
0.97900390625 [0.96875,0.984375]
f_measure
0.9683693244739757 [0.952381,0.976744]
f_measure
0.9467760605681391 [0.918033,0.961832]
f_measure
0.9357954545454544 [0.9,0.954545]
f_measure
0.9683693244739757 [0.952381,0.976744]
f_measure
0.9468592346499323 [0.920635,0.96124]
f_measure
0.9576822916666666 [0.9375,0.96875]
f_measure
0.9009893153937475 [0.842105,0.932331]
f_measure
0.9787855054302422 [0.96875,0.984127]
kappa
0.9767441860465117
kappa
0.953147877013177
kappa
0.9292035398230089
kappa
0.8802395209580838
kappa
0.8552036199095022
kappa
0.9292035398230089
kappa
0.8822374877330715
kappa
0.9064327485380118
kappa
0.7768206734534066
kappa
0.9529003470500744
kb_relative_information_score
70.33655340879712
kb_relative_information_score
71.1840091037594
kb_relative_information_score
70.60930390350346
kb_relative_information_score
64.90275567400111
kb_relative_information_score
67.957999589146
kb_relative_information_score
66.8605979293629
kb_relative_information_score
69.69680285876859
kb_relative_information_score
73.89011396744209
kb_relative_information_score
62.15780614044533
kb_relative_information_score
67.5837444016209
mean_absolute_error
0.14524414445508194
mean_absolute_error
0.14063652597402593
mean_absolute_error
0.14589098176129425
mean_absolute_error
0.16775151856245604
mean_absolute_error
0.15339236035954787
mean_absolute_error
0.16302085588023088
mean_absolute_error
0.1491658706455581
mean_absolute_error
0.12863217893217893
mean_absolute_error
0.17585453990453986
mean_absolute_error
0.15502590415432524
mean_prior_absolute_error
0.45214843750000067
mean_prior_absolute_error
0.45214843750000067
mean_prior_absolute_error
0.45214843750000067
mean_prior_absolute_error
0.45214843750000067
mean_prior_absolute_error
0.45214843750000067
mean_prior_absolute_error
0.45214843750000067
mean_prior_absolute_error
0.4553385416666673
mean_prior_absolute_error
0.4553385416666673
mean_prior_absolute_error
0.45325657894736904
mean_prior_absolute_error
0.45325657894736904
number_of_instances
96 [33,63]
number_of_instances
96 [33,63]
number_of_instances
96 [33,63]
number_of_instances
96 [33,63]
number_of_instances
96 [33,63]
number_of_instances
96 [33,63]
number_of_instances
96 [34,62]
number_of_instances
96 [34,62]
number_of_instances
95 [33,62]
number_of_instances
95 [33,62]
precision
0.98974609375 [1,0.984375]
precision
0.9798076923076923 [1,0.969231]
precision
0.9701704545454546 [1,0.954545]
precision
0.9517463235294118 [1,0.926471]
precision
0.9429347826086957 [1,0.913043]
precision
0.9701704545454546 [1,0.954545]
precision
0.9518034825870648 [1,0.925373]
precision
0.960858585858586 [1,0.939394]
precision
0.9172720533728688 [1,0.873239]
precision
0.9796052631578948 [1,0.96875]
predictive_accuracy
0.9895833333333333
predictive_accuracy
0.9791666666666667
predictive_accuracy
0.96875
predictive_accuracy
0.9479166666666667
predictive_accuracy
0.9375
predictive_accuracy
0.96875
predictive_accuracy
0.9479166666666667
predictive_accuracy
0.9583333333333333
predictive_accuracy
0.9052631578947369
predictive_accuracy
0.9789473684210526
prior_entropy
0.9312461581068427
prior_entropy
0.9312461581068427
prior_entropy
0.9312461581068427
prior_entropy
0.9312461581068427
prior_entropy
0.9312461581068427
prior_entropy
0.9312461581068427
prior_entropy
0.9312461581068427
prior_entropy
0.9312461581068427
prior_entropy
0.9312461581068427
prior_entropy
0.9312461581068427
recall
0.9895833333333334 [0.969697,1]
recall
0.9791666666666666 [0.939394,1]
recall
0.96875 [0.909091,1]
recall
0.9479166666666666 [0.848485,1]
recall
0.9375 [0.818182,1]
recall
0.96875 [0.909091,1]
recall
0.9479166666666666 [0.852941,1]
recall
0.9583333333333334 [0.882353,1]
recall
0.9052631578947369 [0.727273,1]
recall
0.9789473684210527 [0.939394,1]
relative_absolute_error
0.32123110998272936
relative_absolute_error
0.3110406103615601
relative_absolute_error
0.3226616961632075
relative_absolute_error
0.3710098380301398
relative_absolute_error
0.33925221816020906
relative_absolute_error
0.3605472060936419
relative_absolute_error
0.3275933333022261
relative_absolute_error
0.2824978936800494
relative_absolute_error
0.38798011561782453
relative_absolute_error
0.34202681517464845
root_mean_prior_squared_error
0.47496916018305874
root_mean_prior_squared_error
0.47496916018305874
root_mean_prior_squared_error
0.47496916018305874
root_mean_prior_squared_error
0.47496916018305874
root_mean_prior_squared_error
0.47496916018305874
root_mean_prior_squared_error
0.47496916018305874
root_mean_prior_squared_error
0.4783155938203006
root_mean_prior_squared_error
0.4783155938203006
root_mean_prior_squared_error
0.4761342715793188
root_mean_prior_squared_error
0.4761342715793188
root_mean_squared_error
0.1947260418657704
root_mean_squared_error
0.1889013891286013
root_mean_squared_error
0.18431873707776356
root_mean_squared_error
0.2318856850736671
root_mean_squared_error
0.21461580223768784
root_mean_squared_error
0.20964161871929357
root_mean_squared_error
0.21177381255791194
root_mean_squared_error
0.18629094426522919
root_mean_squared_error
0.2476272756256544
root_mean_squared_error
0.21024691315070837
root_relative_squared_error
0.409976179907598
root_relative_squared_error
0.39771295689134106
root_relative_squared_error
0.38806464193743634
root_relative_squared_error
0.4882120872527716
root_relative_squared_error
0.45185207846962605
root_relative_squared_error
0.44137943322150686
root_relative_squared_error
0.4427491290143337
root_relative_squared_error
0.38947286409235743
root_relative_squared_error
0.5200786635338901
root_relative_squared_error
0.4415706360588738
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