10435784
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)
8255565
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
36.08550842537873
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.045747192972740616
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
true
13389
random_state
1
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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
21794480
description
https://api.openml.org/data/download/21794480/description.xml
-1
21794481
predictions
https://api.openml.org/data/download/21794481/predictions.arff
area_under_roc_curve
0.8252980952481562 [0.777238,0.775175,0.81731,0.769691,0.817184,0.873084]
average_cost
0
f_measure
0.5455978906275882 [0.451079,0.279601,0.445113,0.353261,0.347744,0.760751]
kappa
0.3984407890326504
kb_relative_information_score
0.31367919790994636
mean_absolute_error
0.19886996093567103
mean_prior_absolute_error
0.2507645736611627
weighted_recall
0.571101667211507 [0.450872,0.201646,0.395722,0.316045,0.296474,0.872749]
number_of_instances
6118 [1089,486,748,617,624,2554]
precision
0.5434455779258204 [0.451287,0.455814,0.508591,0.400411,0.420455,0.674229]
predictive_accuracy
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prior_entropy
2.3000072984859514
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root_relative_squared_error
0.872992724317613
total_cost
0
unweighted_recall
0.42225145751368776 [0.450872,0.201646,0.395722,0.316045,0.296474,0.872749]
area_under_roc_curve
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area_under_roc_curve
0.8419255735893476 [0.798503,0.801345,0.848616,0.79805,0.81733,0.882902]
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
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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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average_cost
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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
0.5381753544366542 [0.373832,0.32,0.477612,0.34,0.263158,0.783646]
f_measure
0.5470607811468098 [0.438095,0.313253,0.57931,0.230769,0.342857,0.755633]
f_measure
0.5517067027866612 [0.471111,0.305556,0.377953,0.392157,0.440367,0.750424]
f_measure
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f_measure
0.5280192820929429 [0.495575,0.273973,0.381679,0.368421,0.271845,0.734835]
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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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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number_of_instances
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number_of_instances
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precision
0.5563724416371095 [0.482143,0.444444,0.462963,0.4,0.511628,0.684848]
precision
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precision
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precision
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precision
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precision
0.54789364104442 [0.458333,0.571429,0.467742,0.403226,0.5,0.652047]
precision
0.5231489243436149 [0.478632,0.416667,0.446429,0.403846,0.341463,0.658385]
precision
0.5223189685206648 [0.422414,0.277778,0.535714,0.387755,0.348837,0.681818]
precision
0.5327140083888524 [0.451327,0.411765,0.509434,0.369565,0.409091,0.66568]
precision
0.5483395233469381 [0.478723,0.5,0.472727,0.37931,0.477273,0.666667]
predictive_accuracy
0.5833333333333334
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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relative_absolute_error
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relative_absolute_error
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root_mean_prior_squared_error
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total_cost
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unweighted_recall
0.43112915123749507 [0.495413,0.166667,0.337838,0.354839,0.349206,0.882812]
unweighted_recall
0.4564387393180283 [0.486239,0.25,0.48,0.322581,0.31746,0.882353]
unweighted_recall
0.40936409450279515 [0.37037,0.244898,0.426667,0.274194,0.238095,0.901961]
unweighted_recall
0.43101623326651367 [0.422018,0.265306,0.56,0.193548,0.290323,0.854902]
unweighted_recall
0.43451206900832745 [0.486239,0.22449,0.32,0.322581,0.387097,0.866667]
unweighted_recall
0.42027664809635007 [0.40367,0.163265,0.386667,0.403226,0.290323,0.87451]
unweighted_recall
0.40784418532136146 [0.513761,0.204082,0.333333,0.33871,0.225806,0.831373]
unweighted_recall
0.3973165407395389 [0.449541,0.102041,0.4,0.311475,0.241935,0.878906]
unweighted_recall
0.4036067661375899 [0.46789,0.145833,0.36,0.278689,0.290323,0.878906]
unweighted_recall
0.43053074318114176 [0.412844,0.25,0.351351,0.360656,0.333333,0.875]
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_training
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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
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weighted_recall
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weighted_recall
0.5980392156862745 [0.486239,0.25,0.48,0.322581,0.31746,0.882353]
weighted_recall
0.565359477124183 [0.37037,0.244898,0.426667,0.274194,0.238095,0.901961]
weighted_recall
0.5702614379084967 [0.422018,0.265306,0.56,0.193548,0.290323,0.854902]
weighted_recall
0.576797385620915 [0.486239,0.22449,0.32,0.322581,0.387097,0.866667]
weighted_recall
0.5669934640522876 [0.40367,0.163265,0.386667,0.403226,0.290323,0.87451]
weighted_recall
0.5522875816993464 [0.513761,0.204082,0.333333,0.33871,0.225806,0.831373]
weighted_recall
0.5604575163398693 [0.449541,0.102041,0.4,0.311475,0.241935,0.878906]
weighted_recall
0.5646481178396072 [0.46789,0.145833,0.36,0.278689,0.290323,0.878906]
weighted_recall
0.5728314238952537 [0.412844,0.25,0.351351,0.360656,0.333333,0.875]