10435770
8323
Heinrich Peters
9985
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8255667
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
352.1682632247339
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.06806222923892684
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
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.
1475
first-order-theorem-proving
https://www.openml.org/data/download/1587932/phpPbCMyg
-1
21794452
description
https://api.openml.org/data/download/21794452/description.xml
-1
21794453
predictions
https://api.openml.org/data/download/21794453/predictions.arff
area_under_roc_curve
0.8266764814051334 [0.773565,0.783197,0.820477,0.774083,0.811544,0.875815]
average_cost
0
f_measure
0.5487518106781647 [0.474826,0.268833,0.412747,0.371075,0.348008,0.765341]
kappa
0.40474996066863217
kb_relative_information_score
0.29020895866209684
mean_absolute_error
0.2058286589443757
mean_prior_absolute_error
0.2507645736611627
weighted_recall
0.5787839163125205 [0.502296,0.187243,0.363636,0.316045,0.266026,0.888802]
number_of_instances
6118 [1089,486,748,617,624,2554]
precision
0.5534740891577875 [0.450206,0.47644,0.477193,0.449309,0.50303,0.671995]
predictive_accuracy
0.5787839163125205
prior_entropy
2.3000072984859514
relative_absolute_error
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0.35407492669342416
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0.31128025386881447
root_relative_squared_error
0.8791366753239112
total_cost
0
unweighted_recall
0.42067462456830623 [0.502296,0.187243,0.363636,0.316045,0.266026,0.888802]
area_under_roc_curve
0.825250531355515 [0.766529,0.750887,0.806239,0.793739,0.817793,0.879159]
area_under_roc_curve
0.8469873558698672 [0.793669,0.822178,0.85023,0.802097,0.824009,0.890086]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.8141121007427733 [0.794162,0.783612,0.807225,0.785616,0.773211,0.847399]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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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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0
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0
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0
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0
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0
f_measure
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f_measure
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f_measure
0.5351553258794859 [0.418182,0.366197,0.451128,0.319149,0.26,0.762376]
f_measure
0.5482958769777585 [0.46696,0.311688,0.453125,0.26,0.412371,0.759664]
f_measure
0.5520175214039639 [0.45,0.272727,0.393939,0.427184,0.384615,0.766839]
f_measure
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f_measure
0.5259567204510551 [0.532787,0.285714,0.3125,0.438095,0.155844,0.743333]
f_measure
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f_measure
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f_measure
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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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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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
0.5539793040085891 [0.486726,0.409091,0.438596,0.408163,0.475,0.697885]
precision
0.5752377237863466 [0.445312,0.416667,0.52459,0.477273,0.621622,0.687879]
precision
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precision
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precision
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precision
0.556403757470566 [0.452174,0.470588,0.409091,0.45614,0.555556,0.685358]
precision
0.5341594432376859 [0.481481,0.47619,0.377358,0.534884,0.4,0.646377]
precision
0.5579826397803384 [0.428571,0.333333,0.6,0.465116,0.558824,0.665698]
precision
0.5247727240899529 [0.433333,0.5,0.419355,0.444444,0.333333,0.66474]
precision
0.5797130457470362 [0.504274,0.588235,0.509434,0.372549,0.62963,0.66763]
predictive_accuracy
0.5866013071895425
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
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prior_entropy
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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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relative_absolute_error
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relative_absolute_error
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root_mean_prior_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_relative_squared_error
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total_cost
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total_cost
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total_cost
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total_cost
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0
unweighted_recall
0.4260727817582888 [0.504587,0.1875,0.337838,0.322581,0.301587,0.902344]
unweighted_recall
0.4412923723466566 [0.522936,0.104167,0.426667,0.33871,0.365079,0.890196]
unweighted_recall
0.40756651525604265 [0.425926,0.265306,0.4,0.241935,0.206349,0.905882]
unweighted_recall
0.4227226220467471 [0.486239,0.244898,0.386667,0.209677,0.322581,0.886275]
unweighted_recall
0.4289600950373244 [0.495413,0.183673,0.346667,0.354839,0.322581,0.870588]
unweighted_recall
0.4341683513693531 [0.477064,0.163265,0.36,0.419355,0.322581,0.862745]
unweighted_recall
0.4015550523257542 [0.59633,0.204082,0.266667,0.370968,0.096774,0.87451]
unweighted_recall
0.421050895954245 [0.495413,0.102041,0.4,0.327869,0.306452,0.894531]
unweighted_recall
0.38965968207888 [0.477064,0.208333,0.346667,0.262295,0.145161,0.898438]
unweighted_recall
0.4330238385908764 [0.541284,0.208333,0.364865,0.311475,0.269841,0.902344]
usercpu_time_millis
18200.42011100003
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
205.4278929999782
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis_training
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wall_clock_time_millis_training
17685.184478759766
weighted_recall
0.5866013071895425 [0.504587,0.1875,0.337838,0.322581,0.301587,0.902344]
weighted_recall
0.5964052287581699 [0.522936,0.104167,0.426667,0.33871,0.365079,0.890196]
weighted_recall
0.5686274509803921 [0.425926,0.265306,0.4,0.241935,0.206349,0.905882]
weighted_recall
0.576797385620915 [0.486239,0.244898,0.386667,0.209677,0.322581,0.886275]
weighted_recall
0.576797385620915 [0.495413,0.183673,0.346667,0.354839,0.322581,0.870588]
weighted_recall
0.576797385620915 [0.477064,0.163265,0.36,0.419355,0.322581,0.862745]
weighted_recall
0.5669934640522876 [0.59633,0.204082,0.266667,0.370968,0.096774,0.87451]
weighted_recall
0.5833333333333334 [0.495413,0.102041,0.4,0.327869,0.306452,0.894531]
weighted_recall
0.5613747954173486 [0.477064,0.208333,0.346667,0.262295,0.145161,0.898438]
weighted_recall
0.5941080196399345 [0.541284,0.208333,0.364865,0.311475,0.269841,0.902344]