10424567
8323
Heinrich Peters
49
Supervised Classification
16347
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder,svc=sklearn.svm.classes.SVC)(1)
8255899
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
C
81.8664880584341
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.1339044447397313
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
0.6339071538529285
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
true
13389
random_state
1
13389
shrinking
true
13389
tol
0.001
13389
verbose
false
13389
memory
null
16347
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
16347
verbose
false
16347
categorical_features
null
16348
categories
null
16348
drop
null
16348
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
16348
handle_unknown
"ignore"
16348
n_values
null
16348
sparse
true
16348
openml-python
Sklearn_0.21.2.
50
tic-tac-toe
https://www.openml.org/data/download/50/dataset_50_tic-tac-toe.arff
-1
21771649
description
https://api.openml.org/data/download/21771649/description.xml
-1
21771650
predictions
https://api.openml.org/data/download/21771650/predictions.arff
area_under_roc_curve
0.9993696832056662 [0.99937,0.99937]
average_cost
0
f_measure
0.9832985386221295 [0.975904,0.98722]
kappa
0.9631240617421765
kb_relative_information_score
0.9558777841203892
mean_absolute_error
0.020857041152243308
mean_prior_absolute_error
0.45300756784968915
weighted_recall
0.9832985386221295 [0.975904,0.98722]
number_of_instances
958 [332,626]
precision
0.9832985386221295 [0.975904,0.98722]
predictive_accuracy
0.9832985386221295
prior_entropy
0.9309543116818706
relative_absolute_error
0.04604126428007889
root_mean_prior_squared_error
0.47587270721768155
root_mean_squared_error
0.09852432709580257
root_relative_squared_error
0.207039247263941
total_cost
0
unweighted_recall
0.9815620308710882 [0.975904,0.98722]
area_under_roc_curve
0.9980759980759982 [0.998076,0.998076]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9980759980759982 [0.998076,0.998076]
area_under_roc_curve
0.9995189995189996 [0.999519,0.999519]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9995256166982922 [0.999526,0.999526]
area_under_roc_curve
0.9990512333965844 [0.999051,0.999051]
area_under_roc_curve
0.9995112414467253 [0.999511,0.999511]
area_under_roc_curve
1 [1,1]
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
0.9686326468806783 [0.953846,0.976378]
f_measure
0.9896194029850746 [0.985075,0.992]
f_measure
1 [1,1]
f_measure
0.9686326468806783 [0.953846,0.976378]
f_measure
0.9791666666666666 [0.969697,0.984127]
f_measure
0.9896194029850746 [0.985075,0.992]
f_measure
0.989547263681592 [0.985075,0.992]
f_measure
0.9791666666666666 [0.970588,0.983871]
f_measure
0.9789473684210527 [0.969697,0.983871]
f_measure
0.9895094489043869 [0.985075,0.99187]
kappa
0.9302325581395349
kappa
0.9770773638968482
kappa
1
kappa
0.9302325581395349
kappa
0.9538239538239538
kappa
0.9770773638968482
kappa
0.9770773638968482
kappa
0.954459203036053
kappa
0.9535679374389053
kappa
0.9769473428779422
kb_relative_information_score
0.928228881585587
kb_relative_information_score
0.9724224653086364
kb_relative_information_score
0.9841073785670552
kb_relative_information_score
0.9265304733330468
kb_relative_information_score
0.9538600814988136
kb_relative_information_score
0.9635472033499728
kb_relative_information_score
0.9637462525975208
kb_relative_information_score
0.9423900069368382
kb_relative_information_score
0.9509599406045254
kb_relative_information_score
0.9731277542874416
mean_absolute_error
0.03203575698531595
mean_absolute_error
0.012978809804708974
mean_absolute_error
0.008994735533944311
mean_absolute_error
0.03361428321963094
mean_absolute_error
0.02218929765014777
mean_absolute_error
0.01697540751955204
mean_absolute_error
0.016917598893795998
mean_absolute_error
0.027270525158267948
mean_absolute_error
0.02397917699974459
mean_absolute_error
0.013571450435773073
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
0.96875 [0.96875,0.96875]
precision
0.9898897058823529 [0.970588,1]
precision
1 [1,1]
precision
0.96875 [0.96875,0.96875]
precision
0.9791666666666666 [0.969697,0.984127]
precision
0.9898897058823529 [0.970588,1]
precision
0.9897486772486772 [1,0.984127]
precision
0.9791666666666666 [0.970588,0.983871]
precision
0.9789473684210527 [0.969697,0.983871]
precision
0.9897832817337462 [0.970588,1]
predictive_accuracy
0.96875
predictive_accuracy
0.9895833333333333
predictive_accuracy
1
predictive_accuracy
0.96875
predictive_accuracy
0.9791666666666667
predictive_accuracy
0.9895833333333333
predictive_accuracy
0.9895833333333333
predictive_accuracy
0.9791666666666667
predictive_accuracy
0.9789473684210526
predictive_accuracy
0.9894736842105263
prior_entropy
0.9283932104014351
prior_entropy
0.9283932104014351
prior_entropy
0.9283932104014351
prior_entropy
0.9283932104014351
prior_entropy
0.9283932104014351
prior_entropy
0.9283932104014351
prior_entropy
0.9379030360861306
prior_entropy
0.9379030360861306
prior_entropy
0.9316966235340134
prior_entropy
0.9316966235340134
relative_absolute_error
0.07085230054635742
relative_absolute_error
0.02870475429810361
relative_absolute_error
0.01989332437744916
relative_absolute_error
0.07434346871901087
relative_absolute_error
0.04907525009449521
relative_absolute_error
0.03754388185749733
relative_absolute_error
0.03715389176561426
relative_absolute_error
0.05989065862610739
relative_absolute_error
0.05290420065260429
relative_absolute_error
0.029942092550076266
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
0.14291626714538197
root_mean_squared_error
0.07815942879594891
root_mean_squared_error
0.03897087011233364
root_mean_squared_error
0.14134025104240067
root_mean_squared_error
0.09642604199088772
root_mean_squared_error
0.09200082873581204
root_mean_squared_error
0.08209305560172511
root_mean_squared_error
0.11102218758945862
root_mean_squared_error
0.09214813897112421
root_mean_squared_error
0.06038437354361242
root_relative_squared_error
0.3008958878304864
root_relative_squared_error
0.16455684989279162
root_relative_squared_error
0.08204926420341441
root_relative_squared_error
0.29757774375904
root_relative_squared_error
0.2030153746271105
root_relative_squared_error
0.19369853129065018
root_relative_squared_error
0.17162947782247476
root_relative_squared_error
0.23211074241323768
root_relative_squared_error
0.19353393458839338
root_relative_squared_error
0.12682215322018262
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
0.9617604617604618 [0.939394,0.984127]
unweighted_recall
0.9920634920634921 [1,0.984127]
unweighted_recall
1 [1,1]
unweighted_recall
0.9617604617604618 [0.939394,0.984127]
unweighted_recall
0.976911976911977 [0.969697,0.984127]
unweighted_recall
0.9920634920634921 [1,0.984127]
unweighted_recall
0.9852941176470589 [0.970588,1]
unweighted_recall
0.9772296015180266 [0.970588,0.983871]
unweighted_recall
0.9767839687194526 [0.969697,0.983871]
unweighted_recall
0.9919354838709677 [1,0.983871]
usercpu_time_millis
457.93653700002324
usercpu_time_millis
473.3751960000063
usercpu_time_millis
438.5804940000071
usercpu_time_millis
451.32881899996846
usercpu_time_millis
456.09871999999996
usercpu_time_millis
454.1800320000675
usercpu_time_millis
451.1536550000983
usercpu_time_millis
463.6335229999986
usercpu_time_millis
460.77358000013646
usercpu_time_millis
458.2814639999242
usercpu_time_millis_testing
9.91735900004187
usercpu_time_millis_testing
9.990548000018862
usercpu_time_millis_testing
10.343852999994851
usercpu_time_millis_testing
10.385798000015711
usercpu_time_millis_testing
10.498794000000089
usercpu_time_millis_testing
10.310273000072812
usercpu_time_millis_testing
10.330215000067255
usercpu_time_millis_testing
10.830202999954963
usercpu_time_millis_testing
10.40154200006782
usercpu_time_millis_testing
10.549236999963796
usercpu_time_millis_training
448.01917799998137
usercpu_time_millis_training
463.38464799998746
usercpu_time_millis_training
428.23664100001224
usercpu_time_millis_training
440.94302099995275
usercpu_time_millis_training
445.59992599999987
usercpu_time_millis_training
443.8697589999947
usercpu_time_millis_training
440.82344000003104
usercpu_time_millis_training
452.80332000004364
usercpu_time_millis_training
450.37203800006864
usercpu_time_millis_training
447.7322269999604
wall_clock_time_millis
457.97133445739746
wall_clock_time_millis
473.4041690826416
wall_clock_time_millis
438.5857582092285
wall_clock_time_millis
451.3430595397949
wall_clock_time_millis
456.1045169830322
wall_clock_time_millis
454.2088508605957
wall_clock_time_millis
451.1573314666748
wall_clock_time_millis
463.64831924438477
wall_clock_time_millis
460.77775955200195
wall_clock_time_millis
458.2967758178711
wall_clock_time_millis_testing
9.91964340209961
wall_clock_time_millis_testing
9.992599487304688
wall_clock_time_millis_testing
10.346412658691406
wall_clock_time_millis_testing
10.38813591003418
wall_clock_time_millis_testing
10.500907897949219
wall_clock_time_millis_testing
10.31351089477539
wall_clock_time_millis_testing
10.332345962524414
wall_clock_time_millis_testing
10.832786560058594
wall_clock_time_millis_testing
10.404109954833984
wall_clock_time_millis_testing
10.552167892456055
wall_clock_time_millis_training
448.05169105529785
wall_clock_time_millis_training
463.4115695953369
wall_clock_time_millis_training
428.2393455505371
wall_clock_time_millis_training
440.95492362976074
wall_clock_time_millis_training
445.603609085083
wall_clock_time_millis_training
443.8953399658203
wall_clock_time_millis_training
440.8249855041504
wall_clock_time_millis_training
452.8155326843262
wall_clock_time_millis_training
450.37364959716797
wall_clock_time_millis_training
447.74460792541504
weighted_recall
0.96875 [0.939394,0.984127]
weighted_recall
0.9895833333333334 [1,0.984127]
weighted_recall
1 [1,1]
weighted_recall
0.96875 [0.939394,0.984127]
weighted_recall
0.9791666666666666 [0.969697,0.984127]
weighted_recall
0.9895833333333334 [1,0.984127]
weighted_recall
0.9895833333333334 [0.970588,1]
weighted_recall
0.9791666666666666 [0.970588,0.983871]
weighted_recall
0.9789473684210527 [0.969697,0.983871]
weighted_recall
0.9894736842105263 [1,0.983871]