10228043
6138
Felix Neutatz
3876
Supervised Classification
predictive_accuracy
9812
fastsklearnfeature.feature_selection.openml_wrapper.ComplexPipelineWrapper.ComplexPipelineWrapper(pipeline=sklearn.pipeline.Pipeline(features=sklearn.pipeline.FeatureUnion(Temperature=sklearn.pipeline.Pipeline(Temperature=sklearn.compose._column_transformer.ColumnTransformer(identity=sklearn.preprocessing._function_transformer.FunctionTransformer))),classifier=sklearn.linear_model.logistic.LogisticRegression))(2)
8153369
n_jobs
null
9799
remainder
"drop"
9799
sparse_threshold
0.3
9799
transformer_weights
null
9799
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "identity", "step_name": "identity", "argument_1": [0]}}]
9799
accept_sparse
false
9800
check_inverse
true
9800
func
{"oml-python:serialized_object": "function", "value": "fastsklearnfeature.candidates.Identity.identity"}
9800
inv_kw_args
null
9800
inverse_func
null
9800
kw_args
null
9800
pass_y
"deprecated"
9800
validate
false
9800
C
0.001
9801
class_weight
"balanced"
9801
dual
false
9801
fit_intercept
true
9801
intercept_scaling
1
9801
max_iter
10000
9801
multi_class
"auto"
9801
n_jobs
null
9801
penalty
"l2"
9801
random_state
14841
9801
solver
"lbfgs"
9801
tol
0.0001
9801
verbose
0
9801
warm_start
false
9801
memory
null
9808
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "features", "step_name": "features"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "classifier", "step_name": "classifier"}}]
9808
n_jobs
null
9809
transformer_list
[{"oml-python:serialized_object": "component_reference", "value": {"key": "Temperature", "step_name": "Temperature"}}]
9809
transformer_weights
null
9809
memory
null
9810
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "Temperature", "step_name": "Temperature"}}]
9810
openml-python
Sklearn_0.20.3.
1013
analcatdata_challenger
https://www.openml.org/data/download/53547/analcatdata_challenger.arff
-1
21377058
description
https://api.openml.org/data/download/21377058/description.xml
-1
21377059
predictions
https://api.openml.org/data/download/21377059/predictions.arff
area_under_roc_curve
0.6498708010335917 [0.649871,0.649871]
average_cost
0
f_measure
0.7976239047622895 [0.838428,0.212766]
kappa
0.11995863495346427
kb_relative_information_score
-260.67163905935155
mean_absolute_error
0.26811594202898553
mean_prior_absolute_error
0.1273291925465838
number_of_instances
138 [129,9]
precision
0.9059725400457666 [0.96,0.131579]
predictive_accuracy
0.7318840579710145
prior_entropy
0.37123232664087563
recall
0.7318840579710145 [0.744186,0.555556]
relative_absolute_error
2.10569105691057
root_mean_prior_squared_error
0.24698716957433003
root_mean_squared_error
0.517799132897097
root_relative_squared_error
2.0964616655573556
total_cost
0
area_under_roc_curve
0.34615384615384615 [0.346154,0.346154]
area_under_roc_curve
0.46153846153846156 [0.461538,0.461538]
area_under_roc_curve
0.8076923076923077 [0.807692,0.807692]
area_under_roc_curve
0.8461538461538461 [0.846154,0.846154]
area_under_roc_curve
0.38461538461538464 [0.384615,0.384615]
area_under_roc_curve
0.4230769230769231 [0.423077,0.423077]
area_under_roc_curve
0.8461538461538461 [0.846154,0.846154]
area_under_roc_curve
0.8076923076923077 [0.807692,0.807692]
area_under_roc_curve
0.7916666666666666 [0.791667,0.791667]
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
0.7267080745341614 [0.782609,0]
f_measure
0.8571428571428571 [0.923077,0]
f_measure
0.7278911564625851 [0.761905,0.285714]
f_measure
0.7835497835497834 [0.818182,0.333333]
f_measure
0.7738095238095237 [0.833333,0]
f_measure
0.817142857142857 [0.88,0]
f_measure
0.7835497835497834 [0.818182,0.333333]
f_measure
0.7278911564625851 [0.761905,0.285714]
f_measure
1 [1,0.0]
f_measure
0.70213996529786 [0.736842,0.285714]
kappa
-0.1290322580645159
kappa
-0.07692307692307698
kappa
0.18604651162790717
kappa
0.24324324324324323
kappa
-0.12000000000000016
kappa
-0.10526315789473696
kappa
0.24324324324324323
kappa
0.18604651162790717
kappa
1
kappa
0.1772151898734177
kb_relative_information_score
-38.71995250780949
kb_relative_information_score
-7.087981003123794
kb_relative_information_score
-38.719952507809495
kb_relative_information_score
-28.175962006247595
kb_relative_information_score
-28.17596200624759
kb_relative_information_score
-17.63197150468569
kb_relative_information_score
-28.17596200624759
kb_relative_information_score
-38.719952507809495
kb_relative_information_score
3.744010289974613
kb_relative_information_score
-39.00795329934601
mean_absolute_error
0.35714285714285715
mean_absolute_error
0.14285714285714285
mean_absolute_error
0.35714285714285715
mean_absolute_error
0.2857142857142857
mean_absolute_error
0.2857142857142857
mean_absolute_error
0.21428571428571427
mean_absolute_error
0.2857142857142857
mean_absolute_error
0.35714285714285715
mean_absolute_error
0
mean_absolute_error
0.38461538461538464
mean_prior_absolute_error
0.13265306122448978
mean_prior_absolute_error
0.13265306122448978
mean_prior_absolute_error
0.13265306122448978
mean_prior_absolute_error
0.13265306122448978
mean_prior_absolute_error
0.13265306122448978
mean_prior_absolute_error
0.13265306122448978
mean_prior_absolute_error
0.13265306122448978
mean_prior_absolute_error
0.13265306122448978
mean_prior_absolute_error
0.07142857142857141
mean_prior_absolute_error
0.13736263736263735
number_of_instances
14 [13,1]
number_of_instances
14 [13,1]
number_of_instances
14 [13,1]
number_of_instances
14 [13,1]
number_of_instances
14 [13,1]
number_of_instances
14 [13,1]
number_of_instances
14 [13,1]
number_of_instances
14 [13,1]
number_of_instances
13 [13,0]
number_of_instances
13 [12,1]
precision
0.8357142857142857 [0.9,0]
precision
0.8571428571428571 [0.923077,0]
precision
0.9404761904761905 [1,0.166667]
precision
0.9428571428571428 [1,0.2]
precision
0.8441558441558442 [0.909091,0]
precision
0.8511904761904762 [0.916667,0]
precision
0.9428571428571428 [1,0.2]
precision
0.9404761904761905 [1,0.166667]
precision
1 [1,0.0]
precision
0.9358974358974359 [1,0.166667]
predictive_accuracy
0.6428571428571429
predictive_accuracy
0.8571428571428571
predictive_accuracy
0.6428571428571429
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7857142857142857
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.6428571428571429
predictive_accuracy
1
predictive_accuracy
0.6153846153846154
prior_entropy
0.37123232664087563
prior_entropy
0.37123232664087563
prior_entropy
0.37123232664087563
prior_entropy
0.37123232664087563
prior_entropy
0.37123232664087563
prior_entropy
0.37123232664087563
prior_entropy
0.37123232664087563
prior_entropy
0.37123232664087563
prior_entropy
0.37123232664087563
prior_entropy
0.37123232664087563
recall
0.6428571428571429 [0.692308,0]
recall
0.8571428571428571 [0.923077,0]
recall
0.6428571428571429 [0.615385,1]
recall
0.7142857142857143 [0.692308,1]
recall
0.7142857142857143 [0.769231,0]
recall
0.7857142857142857 [0.846154,0]
recall
0.7142857142857143 [0.692308,1]
recall
0.6428571428571429 [0.615385,1]
recall
1 [1,0.0]
recall
0.6153846153846154 [0.583333,1]
relative_absolute_error
2.692307692307693
relative_absolute_error
1.0769230769230769
relative_absolute_error
2.692307692307693
relative_absolute_error
2.1538461538461537
relative_absolute_error
2.1538461538461537
relative_absolute_error
1.6153846153846154
relative_absolute_error
2.1538461538461537
relative_absolute_error
2.692307692307693
relative_absolute_error
0
relative_absolute_error
2.8000000000000007
root_mean_prior_squared_error
0.2575393768188564
root_mean_prior_squared_error
0.2575393768188564
root_mean_prior_squared_error
0.2575393768188564
root_mean_prior_squared_error
0.2575393768188564
root_mean_prior_squared_error
0.2575393768188564
root_mean_prior_squared_error
0.2575393768188564
root_mean_prior_squared_error
0.2575393768188564
root_mean_prior_squared_error
0.2575393768188564
root_mean_prior_squared_error
0.07142857142857141
root_mean_prior_squared_error
0.2665259963875803
root_mean_squared_error
0.5976143046671968
root_mean_squared_error
0.3779644730092272
root_mean_squared_error
0.5976143046671968
root_mean_squared_error
0.5345224838248488
root_mean_squared_error
0.5345224838248488
root_mean_squared_error
0.4629100498862757
root_mean_squared_error
0.5345224838248488
root_mean_squared_error
0.5976143046671968
root_mean_squared_error
0
root_mean_squared_error
0.6201736729460423
root_relative_squared_error
2.3204774044612853
root_relative_squared_error
1.4675987714106853
root_relative_squared_error
2.3204774044612853
root_relative_squared_error
2.0754980866510833
root_relative_squared_error
2.0754980866510833
root_relative_squared_error
1.7974340685458339
root_relative_squared_error
2.0754980866510833
root_relative_squared_error
2.3204774044612853
root_relative_squared_error
0
root_relative_squared_error
2.326878733600868
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
5.993047000000029
usercpu_time_millis
5.995168999999745
usercpu_time_millis
6.840348999999968
usercpu_time_millis
7.013016999999788
usercpu_time_millis
5.930306000000218
usercpu_time_millis
5.850971999999732
usercpu_time_millis
7.708699999999791
usercpu_time_millis
7.378552000000038
usercpu_time_millis
7.523928000000346
usercpu_time_millis
6.550031999999817
usercpu_time_millis_testing
0.4879909999999654
usercpu_time_millis_testing
0.5790469999999992
usercpu_time_millis_testing
0.5027570000000203
usercpu_time_millis_testing
0.4641309999997567
usercpu_time_millis_testing
0.4830000000000112
usercpu_time_millis_testing
0.6191040000000925
usercpu_time_millis_testing
0.4861409999996624
usercpu_time_millis_testing
0.533082000000018
usercpu_time_millis_testing
0.7152770000002917
usercpu_time_millis_testing
0.46956099999961864
usercpu_time_millis_training
5.505056000000064
usercpu_time_millis_training
5.416121999999746
usercpu_time_millis_training
6.3375919999999475
usercpu_time_millis_training
6.5488860000000315
usercpu_time_millis_training
5.447306000000207
usercpu_time_millis_training
5.23186799999964
usercpu_time_millis_training
7.222559000000128
usercpu_time_millis_training
6.84547000000002
usercpu_time_millis_training
6.808651000000054
usercpu_time_millis_training
6.080471000000198