9996178
7518
Thomas Boquet
145804
Supervised Classification
8887
sklearn.ensemble.forest.RandomForestClassifier(47)
7920976
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
8
8887
min_samples_split
4
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
20912878
description
https://api.openml.org/data/download/20912878/description.xml
-1
20912879
predictions
https://api.openml.org/data/download/20912879/predictions.arff
area_under_roc_curve
0.9880720966934832 [0.988072,0.988072]
average_cost
0
f_measure
0.8712325223300594 [0.788321,0.915205]
kappa
0.7087535381067197
kb_relative_information_score
502.8319529183414
mean_absolute_error
0.23962223021455664
mean_prior_absolute_error
0.45300756784968915
number_of_instances
958 [332,626]
precision
0.8978442284858955 [1,0.843666]
predictive_accuracy
0.8789144050104385
prior_entropy
0.9312461581068427
recall
0.8789144050104384 [0.650602,1]
relative_absolute_error
0.5289585587984368
root_mean_prior_squared_error
0.47587270721768155
root_mean_squared_error
0.29418419847303956
root_relative_squared_error
0.618199350395754
total_cost
0
area_under_roc_curve
0.9961519961519961 [0.996152,0.996152]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9961519961519961 [0.996152,0.996152]
area_under_roc_curve
0.9807599807599807 [0.98076,0.98076]
area_under_roc_curve
0.9870129870129869 [0.987013,0.987013]
area_under_roc_curve
0.9894179894179894 [0.989418,0.989418]
area_under_roc_curve
0.9928842504743832 [0.992884,0.992884]
area_under_roc_curve
0.9876660341555977 [0.987666,0.987666]
area_under_roc_curve
0.9613880742913002 [0.961388,0.961388]
area_under_roc_curve
0.9858260019550342 [0.985826,0.985826]
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
0.8665458937198068 [0.777778,0.913043]
f_measure
0.878558394160584 [0.8,0.919708]
f_measure
0.9246766280107047 [0.881356,0.947368]
f_measure
0.8290832290362954 [0.705882,0.893617]
f_measure
0.878558394160584 [0.8,0.919708]
f_measure
0.878558394160584 [0.8,0.919708]
f_measure
0.8671218487394959 [0.785714,0.911765]
f_measure
0.9022715687523895 [0.847458,0.932331]
f_measure
0.8274049491057308 [0.705882,0.892086]
f_measure
0.8528678810371197 [0.754717,0.905109]
kappa
0.6966824644549763
kappa
0.7241379310344827
kappa
0.8297872340425533
kappa
0.6116504854368932
kappa
0.7241379310344827
kappa
0.7241379310344827
kappa
0.7030927835051546
kappa
0.7820383451059536
kappa
0.6103363412633305
kappa
0.667563930013459
kb_relative_information_score
50.440861324246185
kb_relative_information_score
51.34611879430288
kb_relative_information_score
53.81246489368478
kb_relative_information_score
46.33342279802505
kb_relative_information_score
51.74344505401545
kb_relative_information_score
48.98450544806884
kb_relative_information_score
50.54588965301959
kb_relative_information_score
57.61446381038067
kb_relative_information_score
43.63676360134346
kb_relative_information_score
48.37401754125453
mean_absolute_error
0.23747482356300412
mean_absolute_error
0.2399158066211189
mean_absolute_error
0.2281893256892061
mean_absolute_error
0.25403059938538747
mean_absolute_error
0.2290008522086522
mean_absolute_error
0.24853292855943565
mean_absolute_error
0.23993389203636226
mean_absolute_error
0.20930352936781807
mean_absolute_error
0.26424292295728063
mean_absolute_error
0.24591968580241105
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
0.8949999999999999 [1,0.84]
precision
0.9024493243243242 [1,0.851351]
precision
0.9343750000000001 [1,0.9]
precision
0.873798076923077 [1,0.807692]
precision
0.9024493243243242 [1,0.851351]
precision
0.9024493243243242 [1,0.851351]
precision
0.8952702702702702 [1,0.837838]
precision
0.9181338028169014 [1,0.873239]
precision
0.8728639781271361 [1,0.805195]
precision
0.8868771929824562 [1,0.826667]
predictive_accuracy
0.875
predictive_accuracy
0.8854166666666667
predictive_accuracy
0.9270833333333333
predictive_accuracy
0.84375
predictive_accuracy
0.8854166666666667
predictive_accuracy
0.8854166666666667
predictive_accuracy
0.875
predictive_accuracy
0.90625
predictive_accuracy
0.8421052631578948
predictive_accuracy
0.863157894736842
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
0.875 [0.636364,1]
recall
0.8854166666666666 [0.666667,1]
recall
0.9270833333333334 [0.787879,1]
recall
0.84375 [0.545455,1]
recall
0.8854166666666666 [0.666667,1]
recall
0.8854166666666666 [0.666667,1]
recall
0.875 [0.647059,1]
recall
0.90625 [0.735294,1]
recall
0.8421052631578947 [0.545455,1]
recall
0.8631578947368421 [0.606061,1]
relative_absolute_error
0.5252142966058658
relative_absolute_error
0.5306129286825603
relative_absolute_error
0.5046779039001009
relative_absolute_error
0.5618300945370116
relative_absolute_error
0.5064727271310141
relative_absolute_error
0.54967109901698
relative_absolute_error
0.5269351703858335
relative_absolute_error
0.4596657436502261
relative_absolute_error
0.5829875069236752
relative_absolute_error
0.5425617569049485
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
0.293414880312123
root_mean_squared_error
0.28255679829858005
root_mean_squared_error
0.2703718731409097
root_mean_squared_error
0.3141884690913221
root_mean_squared_error
0.2894854874202395
root_mean_squared_error
0.29449588099770924
root_mean_squared_error
0.29844513049671767
root_mean_squared_error
0.2659001716285272
root_mean_squared_error
0.3262151659601737
root_mean_squared_error
0.3020511596395102
root_relative_squared_error
0.6177556458592752
root_relative_squared_error
0.5948950415847617
root_relative_squared_error
0.5692409019497291
root_relative_squared_error
0.6614923566200175
root_relative_squared_error
0.6094827026425639
root_relative_squared_error
0.6200315845437355
root_relative_squared_error
0.6239502419585367
root_relative_squared_error
0.5559094770563214
root_relative_squared_error
0.6851327145137668
root_relative_squared_error
0.6343823111863346
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