10398433
8323
Heinrich Peters
167119
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8231973
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
10488.294804194422
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.009425411398948558
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
1
13389
shrinking
true
13389
tol
0.001
13389
verbose
false
13389
memory
null
16345
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
16345
verbose
false
16345
openml-python
Sklearn_0.21.2.
41027
jungle_chess_2pcs_raw_endgame_complete
https://www.openml.org/data/download/18631418/jungle_chess_2pcs_raw_endgame_complete.arff
-1
21718618
description
https://api.openml.org/data/download/21718618/description.xml
-1
21718619
predictions
https://api.openml.org/data/download/21718619/predictions.arff
area_under_roc_curve
0.8560918208051271 [0.865814,0.868949,0.752698]
average_cost
0
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kappa
0.7044682926058626
kb_relative_information_score
0.6968964418921992
mean_absolute_error
0.11249693210468903
mean_prior_absolute_error
0.3831852724014475
number_of_instances
44819 [23062,17422,4335]
precision
0.8291162657414283 [0.861463,0.845153,0.592583]
predictive_accuracy
0.8312546018429684
prior_entropy
1.3491090910116912
recall
0.8312546018429684 [0.88197,0.835208,0.545559]
relative_absolute_error
0.29358365314946294
root_mean_prior_squared_error
0.43771061915274234
root_mean_squared_error
0.33540562324548023
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0.7662725293133406
total_cost
0
area_under_roc_curve
0.8475756995473127 [0.856156,0.860938,0.748104]
area_under_roc_curve
0.847672872816845 [0.854245,0.862592,0.752636]
area_under_roc_curve
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area_under_roc_curve
0.8655010433514019 [0.875407,0.876206,0.769902]
area_under_roc_curve
0.8614505164623911 [0.869979,0.87628,0.756611]
area_under_roc_curve
0.8618573336153365 [0.871371,0.876099,0.754143]
area_under_roc_curve
0.8485633804818774 [0.859232,0.862086,0.737601]
area_under_roc_curve
0.8529931378893048 [0.865591,0.863532,0.743478]
area_under_roc_curve
0.8598982169934924 [0.870866,0.876284,0.735525]
area_under_roc_curve
0.8554099312610945 [0.865652,0.867111,0.753786]
average_cost
0
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0
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0
average_cost
0
average_cost
0
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0
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0
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0
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0
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
0.822174441738506 [0.867414,0.832696,0.539568]
f_measure
0.8266869142673715 [0.87174,0.833381,0.559803]
f_measure
0.831738021499978 [0.874946,0.848347,0.534772]
f_measure
0.8283977712026809 [0.870166,0.837236,0.570397]
kappa
0.6886138174437155
kappa
0.6881465998823687
kappa
0.7126602177677708
kappa
0.7227469670710572
kappa
0.716076942487888
kappa
0.7170063129566518
kappa
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kappa
0.6990037200258622
kappa
0.7080244572780405
kappa
0.7018979614636334
kb_relative_information_score
0.6826819354584346
kb_relative_information_score
0.6826909007639145
kb_relative_information_score
0.7079386937818138
kb_relative_information_score
0.7157067342243819
kb_relative_information_score
0.707808294381486
kb_relative_information_score
0.7081327433140736
kb_relative_information_score
0.682335926058305
kb_relative_information_score
0.6906342388084721
kb_relative_information_score
0.6963977451145095
kb_relative_information_score
0.6946223662198351
mean_absolute_error
0.11839952402201503
mean_absolute_error
0.11884575338390703
mean_absolute_error
0.10962367990480557
mean_absolute_error
0.10575635876840801
mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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number_of_instances
4482 [2307,1742,433]
number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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precision
0.8213152980343984 [0.84507,0.853172,0.566586]
precision
0.8197083906286764 [0.854998,0.828962,0.594458]
precision
0.8340645277019844 [0.869267,0.838784,0.628079]
precision
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precision
0.8360680014842659 [0.861997,0.860931,0.598504]
precision
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precision
0.8217158706547774 [0.846471,0.853526,0.5625]
precision
0.8254107550267542 [0.859612,0.836028,0.600529]
precision
0.8307714485702563 [0.873057,0.843059,0.55611]
precision
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predictive_accuracy
0.822400713966979
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
1.3489036134824826
prior_entropy
1.3489004199199452
recall
0.822400713966979 [0.884265,0.810563,0.540416]
recall
0.821731369924141 [0.863893,0.834673,0.545035]
recall
0.8355644801427934 [0.879445,0.839265,0.587558]
recall
0.8413654618473896 [0.886383,0.847302,0.578341]
recall
0.8380187416331994 [0.891154,0.838691,0.552995]
recall
0.8386880856760375 [0.89072,0.84271,0.546083]
recall
0.8237394020526551 [0.889419,0.812859,0.518433]
recall
0.8286479250334672 [0.884215,0.830752,0.524249]
recall
0.8328871039714413 [0.876843,0.853701,0.515012]
recall
0.8295023432269583 [0.873374,0.841561,0.547344]
relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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total_cost
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