10319448
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)
8175153
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
C
20.27191464739306
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.9300826105431621
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
0.0007702133768493733
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
19196
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
21560582
description
https://api.openml.org/data/download/21560582/description.xml
-1
21560583
predictions
https://api.openml.org/data/download/21560583/predictions.arff
area_under_roc_curve
0.6993388891027368 [0.699339,0.699339]
average_cost
0
f_measure
0.7500538736449148 [0.588665,0.835646]
kappa
0.4346466771230584
kb_relative_information_score
0.45958851623898156
mean_absolute_error
0.2348643006263048
mean_prior_absolute_error
0.45300756784968915
number_of_instances
958 [332,626]
precision
0.7625691807487285 [0.748837,0.769852]
predictive_accuracy
0.7651356993736953
prior_entropy
0.9309543116818706
recall
0.7651356993736952 [0.48494,0.913738]
relative_absolute_error
0.5184555784380059
root_mean_prior_squared_error
0.47587270721768155
root_mean_squared_error
0.48462800231342884
root_relative_squared_error
1.0183983972246222
total_cost
0
area_under_roc_curve
0.6782106782106783 [0.678211,0.678211]
area_under_roc_curve
0.7417027417027419 [0.741703,0.741703]
area_under_roc_curve
0.6940836940836941 [0.694084,0.694084]
area_under_roc_curve
0.6125541125541125 [0.612554,0.612554]
area_under_roc_curve
0.7481962481962482 [0.748196,0.748196]
area_under_roc_curve
0.7344877344877346 [0.734488,0.734488]
area_under_roc_curve
0.6897533206831118 [0.689753,0.689753]
area_under_roc_curve
0.7912713472485767 [0.791271,0.791271]
area_under_roc_curve
0.583088954056696 [0.583089,0.583089]
area_under_roc_curve
0.7182306940371457 [0.718231,0.718231]
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
0.721780303030303 [0.566667,0.80303]
f_measure
0.7966346153846153 [0.653846,0.871429]
f_measure
0.7402213072568192 [0.586207,0.820896]
f_measure
0.6732142857142858 [0.4,0.816327]
f_measure
0.7930555555555555 [0.666667,0.859259]
f_measure
0.7930633802816901 [0.64,0.873239]
f_measure
0.7441079812206572 [0.56,0.84507]
f_measure
0.8272727272727273 [0.733333,0.878788]
f_measure
0.6271584472993509 [0.444444,0.724409]
f_measure
0.7718124743296367 [0.615385,0.855072]
kappa
0.37254901960784303
kappa
0.5377207062600321
kappa
0.41194486983154677
kappa
0.2653061224489796
kappa
0.5308641975308643
kappa
0.530179445350734
kappa
0.4310344827586208
kappa
0.6152304609218437
kappa
0.1697877652933831
kappa
0.4845360824742268
kb_relative_information_score
0.3751063850721089
kb_relative_information_score
0.5673813435114596
kb_relative_information_score
0.42317512468194685
kb_relative_information_score
0.35107201526719023
kb_relative_information_score
0.5433469737065408
kb_relative_information_score
0.5673813435114596
kb_relative_information_score
0.47660516336730696
kb_relative_information_score
0.6193492097216775
kb_relative_information_score
0.15295624412193023
kb_relative_information_score
0.5159749966411026
mean_absolute_error
0.2708333333333333
mean_absolute_error
0.1875
mean_absolute_error
0.25
mean_absolute_error
0.28125
mean_absolute_error
0.19791666666666666
mean_absolute_error
0.1875
mean_absolute_error
0.22916666666666666
mean_absolute_error
0.16666666666666666
mean_absolute_error
0.3684210526315789
mean_absolute_error
0.21052631578947367
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
0.720511272141707 [0.62963,0.768116]
precision
0.8274521531100479 [0.894737,0.792208]
precision
0.742112676056338 [0.68,0.774648]
precision
0.7265625 [0.75,0.714286]
precision
0.80078125 [0.791667,0.805556]
precision
0.8385610573343261 [0.941176,0.78481]
precision
0.7942708333333334 [0.875,0.75]
precision
0.8347985347985348 [0.846154,0.828571]
precision
0.6239676113360324 [0.466667,0.707692]
precision
0.7991689750692521 [0.842105,0.776316]
predictive_accuracy
0.7291666666666667
predictive_accuracy
0.8125
predictive_accuracy
0.75
predictive_accuracy
0.71875
predictive_accuracy
0.8020833333333333
predictive_accuracy
0.8125
predictive_accuracy
0.7708333333333333
predictive_accuracy
0.8333333333333333
predictive_accuracy
0.631578947368421
predictive_accuracy
0.7894736842105263
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
recall
0.7291666666666666 [0.515152,0.84127]
recall
0.8125 [0.515152,0.968254]
recall
0.75 [0.515152,0.873016]
recall
0.71875 [0.272727,0.952381]
recall
0.8020833333333334 [0.575758,0.920635]
recall
0.8125 [0.484848,0.984127]
recall
0.7708333333333334 [0.411765,0.967742]
recall
0.8333333333333334 [0.647059,0.935484]
recall
0.631578947368421 [0.424242,0.741935]
recall
0.7894736842105263 [0.484848,0.951613]
relative_absolute_error
0.5989920806335484
relative_absolute_error
0.41468682505399507
relative_absolute_error
0.5529157667386602
relative_absolute_error
0.6220302375809926
relative_absolute_error
0.4377249820014392
relative_absolute_error
0.41468682505399507
relative_absolute_error
0.5032885330283092
relative_absolute_error
0.3660280240205885
relative_absolute_error
0.8128311198200148
relative_absolute_error
0.46447492561143705
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
0.5204164998665332
root_mean_squared_error
0.4330127018922193
root_mean_squared_error
0.5
root_mean_squared_error
0.5303300858899106
root_mean_squared_error
0.44487826050130463
root_mean_squared_error
0.4330127018922193
root_mean_squared_error
0.47871355387816905
root_mean_squared_error
0.408248290463863
root_mean_squared_error
0.6069769786668839
root_mean_squared_error
0.45883146774112354
root_relative_squared_error
1.0956848222860587
root_relative_squared_error
0.911664878884623
root_relative_squared_error
1.0526999264695294
root_relative_squared_error
1.116556884841776
root_relative_squared_error
0.9366466242352309
root_relative_squared_error
0.911664878884623
root_relative_squared_error
1.0008320031021567
root_relative_squared_error
0.8535124000520014
root_relative_squared_error
1.27480211969108
root_relative_squared_error
0.9636598227201698
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
usercpu_time_millis
95.87521900004958
usercpu_time_millis
94.58864199996242
usercpu_time_millis
92.77767499997935
usercpu_time_millis
91.2313979999908
usercpu_time_millis
96.40804000002845
usercpu_time_millis
97.27849299997615
usercpu_time_millis
91.97759700009556
usercpu_time_millis
93.21866499988118
usercpu_time_millis
93.31695099990611
usercpu_time_millis
92.94543700002578
usercpu_time_millis_testing
9.887628000001314
usercpu_time_millis_testing
9.23022500001025
usercpu_time_millis_testing
9.15930999997272
usercpu_time_millis_testing
8.970922000003156
usercpu_time_millis_testing
10.965104000092651
usercpu_time_millis_testing
9.991150000018933
usercpu_time_millis_testing
8.878947000084736
usercpu_time_millis_testing
9.104445999923882
usercpu_time_millis_testing
8.985893999920336
usercpu_time_millis_testing
8.974374999979773
usercpu_time_millis_training
85.98759100004827
usercpu_time_millis_training
85.35841699995217
usercpu_time_millis_training
83.61836500000663
usercpu_time_millis_training
82.26047599998765
usercpu_time_millis_training
85.4429359999358
usercpu_time_millis_training
87.28734299995722
usercpu_time_millis_training
83.09865000001082
usercpu_time_millis_training
84.1142189999573
usercpu_time_millis_training
84.33105699998578
usercpu_time_millis_training
83.971062000046
wall_clock_time_millis
95.95966339111328
wall_clock_time_millis
95.85881233215332
wall_clock_time_millis
92.83685684204102
wall_clock_time_millis
91.27354621887207
wall_clock_time_millis
112.45608329772949
wall_clock_time_millis
153.3679962158203
wall_clock_time_millis
124.00364875793457
wall_clock_time_millis
93.30177307128906
wall_clock_time_millis
93.37353706359863
wall_clock_time_millis
93.04094314575195
wall_clock_time_millis_testing
9.900569915771484
wall_clock_time_millis_testing
10.049819946289062
wall_clock_time_millis_testing
9.171724319458008
wall_clock_time_millis_testing
8.982419967651367
wall_clock_time_millis_testing
11.013984680175781
wall_clock_time_millis_testing
10.012388229370117
wall_clock_time_millis_testing
8.888006210327148
wall_clock_time_millis_testing
9.136676788330078
wall_clock_time_millis_testing
8.996725082397461
wall_clock_time_millis_testing
8.986711502075195
wall_clock_time_millis_training
86.0590934753418
wall_clock_time_millis_training
85.80899238586426
wall_clock_time_millis_training
83.66513252258301
wall_clock_time_millis_training
82.2911262512207
wall_clock_time_millis_training
101.44209861755371
wall_clock_time_millis_training
143.3556079864502
wall_clock_time_millis_training
115.11564254760742
wall_clock_time_millis_training
84.16509628295898
wall_clock_time_millis_training
84.37681198120117
wall_clock_time_millis_training
84.05423164367676