10045153
287
Hugo Spee
145804
Supervised Classification
8881
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.neighbors.classification.KNeighborsClassifier)(1)
7847816
algorithm
"auto"
8875
leaf_size
30
8875
metric
"minkowski"
8875
metric_params
null
8875
n_jobs
null
8875
n_neighbors
5
8875
p
2
8875
weights
"uniform"
8875
copy
true
8877
fill_value
null
8877
missing_values
NaN
8877
strategy
"mean"
8877
verbose
0
8877
memory
null
8881
auto-jupyter-notebook
openml-python
Sklearn_0.20.1.
50
tic-tac-toe
https://www.openml.org/data/download/50/dataset_50_tic-tac-toe.arff
-1
21010840
description
https://api.openml.org/data/download/21010840/description.xml
-1
21010841
predictions
https://api.openml.org/data/download/21010841/predictions.arff
area_under_roc_curve
0.78914940913815 [0.789149,0.789149]
average_cost
0
f_measure
0.8246214917325504 [0.714542,0.883002]
kappa
0.6035408088369261
kb_relative_information_score
451.0614675595731
mean_absolute_error
0.24509394572024973
mean_prior_absolute_error
0.45300756784968915
number_of_instances
958 [332,626]
precision
0.841388611195764 [0.884444,0.818554]
predictive_accuracy
0.8340292275574113
prior_entropy
0.9312461581068427
recall
0.8340292275574113 [0.599398,0.958466]
relative_absolute_error
0.5410371991877484
root_mean_prior_squared_error
0.47587270721768155
root_mean_squared_error
0.39017152697152363
root_relative_squared_error
0.8199073429799472
total_cost
0
area_under_roc_curve
0.8472823472823473 [0.847282,0.847282]
area_under_roc_curve
0.8455988455988456 [0.845599,0.845599]
area_under_roc_curve
0.7727272727272728 [0.772727,0.772727]
area_under_roc_curve
0.7342472342472343 [0.734247,0.734247]
area_under_roc_curve
0.798941798941799 [0.798942,0.798942]
area_under_roc_curve
0.8422318422318423 [0.842232,0.842232]
area_under_roc_curve
0.7303130929791272 [0.730313,0.730313]
area_under_roc_curve
0.7960151802656547 [0.796015,0.796015]
area_under_roc_curve
0.7639296187683283 [0.76393,0.76393]
area_under_roc_curve
0.7624633431085044 [0.762463,0.762463]
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
0.8701106536284097 [0.793103,0.910448]
f_measure
0.8903623949579833 [0.821429,0.926471]
f_measure
0.8192307692307693 [0.692308,0.885714]
f_measure
0.7607165206508135 [0.588235,0.851064]
f_measure
0.836622807017544 [0.736842,0.888889]
f_measure
0.8051659804426144 [0.689655,0.865672]
f_measure
0.775228126677402 [0.62963,0.855072]
f_measure
0.8389594543861844 [0.754098,0.885496]
f_measure
0.810448343079922 [0.690909,0.874074]
f_measure
0.8327485380116959 [0.727273,0.888889]
kappa
0.7059724349157733
kappa
0.7511664074650078
kappa
0.5890850722311398
kappa
0.4563106796116505
kappa
0.6296296296296297
kappa
0.55895865237366
kappa
0.49790794979079495
kappa
0.6417910447761194
kappa
0.5719586535913066
kappa
0.6223164590511527
kb_relative_information_score
51.57893095904703
kb_relative_information_score
56.16873832993101
kb_relative_information_score
39.69230830943035
kb_relative_information_score
38.815046137137756
kb_relative_information_score
45.882363888266745
kb_relative_information_score
46.59644379167304
kb_relative_information_score
38.22710704190282
kb_relative_information_score
47.31904382027399
kb_relative_information_score
40.80061799356782
kb_relative_information_score
45.9808672883455
mean_absolute_error
0.21874999999999997
mean_absolute_error
0.19791666666666666
mean_absolute_error
0.27083333333333326
mean_absolute_error
0.26875000000000004
mean_absolute_error
0.2416666666666666
mean_absolute_error
0.23333333333333328
mean_absolute_error
0.2770833333333333
mean_absolute_error
0.23958333333333326
mean_absolute_error
0.2652631578947368
mean_absolute_error
0.23789473684210527
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
0.8800704225352113 [0.92,0.859155]
precision
0.9101027397260274 [1,0.863014]
precision
0.854066985645933 [0.947368,0.805195]
precision
0.7912660256410257 [0.833333,0.769231]
precision
0.84765625 [0.875,0.833333]
precision
0.8110915492957748 [0.8,0.816901]
precision
0.8024122807017543 [0.85,0.776316]
precision
0.8445719269994632 [0.851852,0.84058]
precision
0.8274693583273252 [0.863636,0.808219]
precision
0.8521989906272531 [0.909091,0.821918]
predictive_accuracy
0.875
predictive_accuracy
0.8958333333333333
predictive_accuracy
0.8333333333333333
predictive_accuracy
0.78125
predictive_accuracy
0.84375
predictive_accuracy
0.8125
predictive_accuracy
0.7916666666666667
predictive_accuracy
0.84375
predictive_accuracy
0.8210526315789474
predictive_accuracy
0.8421052631578948
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 [0.69697,0.968254]
recall
0.8958333333333334 [0.69697,1]
recall
0.8333333333333334 [0.545455,0.984127]
recall
0.78125 [0.454545,0.952381]
recall
0.84375 [0.636364,0.952381]
recall
0.8125 [0.606061,0.920635]
recall
0.7916666666666666 [0.5,0.951613]
recall
0.84375 [0.676471,0.935484]
recall
0.8210526315789474 [0.575758,0.951613]
recall
0.8421052631578947 [0.606061,0.967742]
relative_absolute_error
0.48380129589632753
relative_absolute_error
0.4377249820014392
relative_absolute_error
0.5989920806335483
relative_absolute_error
0.5943844492440598
relative_absolute_error
0.5344852411807046
relative_absolute_error
0.5160547156227493
relative_absolute_error
0.6085215899342283
relative_absolute_error
0.5261652845295959
relative_absolute_error
0.5852384062704106
relative_absolute_error
0.524856665940924
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
0.348209706929603
root_mean_squared_error
0.338501600193165
root_mean_squared_error
0.4
root_mean_squared_error
0.42671223714973694
root_mean_squared_error
0.38188130791298663
root_mean_squared_error
0.3752776749732567
root_mean_squared_error
0.4325313090786993
root_mean_squared_error
0.38351444996679496
root_mean_squared_error
0.4062667000616065
root_mean_squared_error
0.39841792392569786
root_relative_squared_error
0.7331206657615388
root_relative_squared_error
0.7126812192663255
root_relative_squared_error
0.8421599411756234
root_relative_squared_error
0.8983998813423528
root_relative_squared_error
0.8040128495201774
root_relative_squared_error
0.7901095617000063
root_relative_squared_error
0.9042801754048562
root_relative_squared_error
0.8018021049735593
root_relative_squared_error
0.8532607802291478
root_relative_squared_error
0.8367764046981141
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