10373036
8323
Heinrich Peters
14
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8228377
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
1.157552785071378
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.3832400736103765
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.060575345200107815
13389
kernel
"sigmoid"
13389
max_iter
-1
13389
probability
false
13389
random_state
11784
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.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
21667777
description
https://api.openml.org/data/download/21667777/description.xml
-1
21667778
predictions
https://api.openml.org/data/download/21667778/predictions.arff
area_under_roc_curve
0.778611111111111 [0.955833,0.7925,0.876389,0.805,0.647222,0.784444,0.632778,0.780278,0.887778,0.623889]
average_cost
0
f_measure
0.6011579038403352 [0.904645,0.629723,0.8,0.658163,0.357143,0.638298,0.34555,0.575406,0.777778,0.324873]
kappa
0.5572222222222223
kb_relative_information_score
0.5832656400115873
mean_absolute_error
0.07969999999999974
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.6028387191020526 [0.885167,0.634518,0.832432,0.671875,0.340909,0.681818,0.362637,0.536797,0.752336,0.329897]
predictive_accuracy
0.6015
prior_entropy
3.3219280948872383
recall
0.6015 [0.925,0.625,0.77,0.645,0.375,0.6,0.33,0.62,0.805,0.32]
relative_absolute_error
0.4427777777777627
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.28231188426986165
root_relative_squared_error
0.9410396142328579
total_cost
0
area_under_roc_curve
0.8055555555555556 [0.922222,0.847222,0.897222,0.761111,0.758333,0.816667,0.683333,0.863889,0.925,0.580556]
area_under_roc_curve
0.7638888888888887 [0.916667,0.775,0.791667,0.827778,0.541667,0.886111,0.669444,0.763889,0.852778,0.613889]
area_under_roc_curve
0.75 [0.916667,0.822222,0.863889,0.783333,0.608333,0.805556,0.580556,0.65,0.852778,0.616667]
area_under_roc_curve
0.786111111111111 [0.944444,0.730556,0.847222,0.886111,0.722222,0.683333,0.675,0.716667,0.941667,0.713889]
area_under_roc_curve
0.7777777777777777 [0.966667,0.713889,0.841667,0.825,0.677778,0.680556,0.652778,0.786111,0.963889,0.669444]
area_under_roc_curve
0.8 [0.966667,0.833333,0.944444,0.869444,0.636111,0.886111,0.577778,0.847222,0.863889,0.575]
area_under_roc_curve
0.775 [0.988889,0.761111,0.863889,0.836111,0.697222,0.783333,0.627778,0.85,0.813889,0.527778]
area_under_roc_curve
0.8083333333333332 [0.972222,0.827778,0.944444,0.755556,0.644444,0.761111,0.672222,0.886111,0.911111,0.708333]
area_under_roc_curve
0.7555555555555555 [0.969444,0.752778,0.888889,0.813889,0.541667,0.769444,0.577778,0.738889,0.872222,0.630556]
area_under_roc_curve
0.7638888888888888 [0.994444,0.861111,0.880556,0.691667,0.644444,0.772222,0.611111,0.7,0.880556,0.602778]
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
0.647258364610169 [0.894737,0.666667,0.864865,0.611111,0.510638,0.722222,0.409091,0.769231,0.765957,0.258065]
f_measure
0.5688619652232811 [0.85,0.585366,0.685714,0.666667,0.171429,0.780488,0.410256,0.533333,0.697674,0.307692]
f_measure
0.5476111499994235 [0.85,0.636364,0.769231,0.631579,0.292683,0.65,0.243902,0.388889,0.697674,0.315789]
f_measure
0.6183404548893187 [0.9,0.540541,0.8,0.780488,0.44,0.470588,0.432432,0.47619,0.878049,0.465116]
f_measure
0.5953752032490496 [0.904762,0.545455,0.756757,0.651163,0.391304,0.457143,0.4,0.553191,0.883721,0.410256]
f_measure
0.6235885866425565 [0.904762,0.7,0.9,0.680851,0.341463,0.780488,0.25,0.666667,0.769231,0.242424]
f_measure
0.5898735388054274 [0.909091,0.611111,0.769231,0.717949,0.461538,0.631579,0.352941,0.592593,0.702703,0.15]
f_measure
0.6530654889255659 [0.95,0.666667,0.9,0.578947,0.368421,0.611111,0.421053,0.780488,0.809524,0.444444]
f_measure
0.562021260818765 [0.926829,0.564103,0.8,0.702703,0.171429,0.55814,0.238095,0.5,0.833333,0.325581]
f_measure
0.5780469388963781 [0.952381,0.75,0.744186,0.516129,0.333333,0.6875,0.3,0.473684,0.744186,0.27907]
kappa
0.6111111111111112
kappa
0.5277777777777778
kappa
0.5000000000000001
kappa
0.5722222222222222
kappa
0.5555555555555556
kappa
0.6
kappa
0.5499999999999999
kappa
0.6166666666666667
kappa
0.5111111111111112
kappa
0.5277777777777778
kb_relative_information_score
0.6339848783037666
kb_relative_information_score
0.5555530665117157
kb_relative_information_score
0.5294091292476987
kb_relative_information_score
0.5973833661341427
kb_relative_information_score
0.5816970037757325
kb_relative_information_score
0.6235273033981599
kb_relative_information_score
0.5764682163229292
kb_relative_information_score
0.6392136657565699
kb_relative_information_score
0.5398667041533054
kb_relative_information_score
0.5555530665117157
mean_absolute_error
0.06999999999999991
mean_absolute_error
0.08499999999999985
mean_absolute_error
0.08999999999999984
mean_absolute_error
0.07699999999999989
mean_absolute_error
0.07999999999999988
mean_absolute_error
0.0719999999999999
mean_absolute_error
0.08099999999999988
mean_absolute_error
0.06899999999999991
mean_absolute_error
0.08799999999999984
mean_absolute_error
0.08499999999999985
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
precision
0.6624842073990681 [0.944444,0.6,0.941176,0.6875,0.444444,0.8125,0.375,0.789474,0.666667,0.363636]
precision
0.5688712988003605 [0.85,0.571429,0.8,0.636364,0.2,0.761905,0.421053,0.48,0.652174,0.315789]
precision
0.5486290454396862 [0.85,0.583333,0.789474,0.666667,0.285714,0.65,0.238095,0.4375,0.652174,0.333333]
precision
0.6338627783129062 [0.9,0.588235,0.933333,0.761905,0.366667,0.571429,0.470588,0.454545,0.857143,0.434783]
precision
0.6062944035618689 [0.863636,0.692308,0.823529,0.608696,0.346154,0.533333,0.466667,0.481481,0.826087,0.421053]
precision
0.618196637670322 [0.863636,0.7,0.9,0.592593,0.333333,0.761905,0.333333,0.6,0.789474,0.307692]
precision
0.6001365546218487 [0.833333,0.6875,0.789474,0.736842,0.473684,0.666667,0.428571,0.470588,0.764706,0.15]
precision
0.6552940115440115 [0.95,0.636364,0.9,0.611111,0.388889,0.6875,0.444444,0.761905,0.772727,0.4]
precision
0.5697608172663698 [0.904762,0.578947,0.8,0.764706,0.2,0.521739,0.227273,0.458333,0.9375,0.304348]
precision
0.6040918501788066 [0.909091,0.75,0.695652,0.727273,0.285714,0.916667,0.3,0.5,0.695652,0.26087]
predictive_accuracy
0.65
predictive_accuracy
0.575
predictive_accuracy
0.55
predictive_accuracy
0.615
predictive_accuracy
0.6
predictive_accuracy
0.64
predictive_accuracy
0.595
predictive_accuracy
0.655
predictive_accuracy
0.56
predictive_accuracy
0.575
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
recall
0.65 [0.85,0.75,0.8,0.55,0.6,0.65,0.45,0.75,0.9,0.2]
recall
0.575 [0.85,0.6,0.6,0.7,0.15,0.8,0.4,0.6,0.75,0.3]
recall
0.55 [0.85,0.7,0.75,0.6,0.3,0.65,0.25,0.35,0.75,0.3]
recall
0.615 [0.9,0.5,0.7,0.8,0.55,0.4,0.4,0.5,0.9,0.5]
recall
0.6 [0.95,0.45,0.7,0.7,0.45,0.4,0.35,0.65,0.95,0.4]
recall
0.64 [0.95,0.7,0.9,0.8,0.35,0.8,0.2,0.75,0.75,0.2]
recall
0.595 [1,0.55,0.75,0.7,0.45,0.6,0.3,0.8,0.65,0.15]
recall
0.655 [0.95,0.7,0.9,0.55,0.35,0.55,0.4,0.8,0.85,0.5]
recall
0.56 [0.95,0.55,0.8,0.65,0.15,0.6,0.25,0.55,0.75,0.35]
recall
0.575 [1,0.75,0.8,0.4,0.4,0.55,0.3,0.45,0.8,0.3]
relative_absolute_error
0.38888888888888884
relative_absolute_error
0.47222222222222193
relative_absolute_error
0.49999999999999967
relative_absolute_error
0.42777777777777765
relative_absolute_error
0.4444444444444442
relative_absolute_error
0.39999999999999986
relative_absolute_error
0.4499999999999998
relative_absolute_error
0.3833333333333332
relative_absolute_error
0.4888888888888886
relative_absolute_error
0.47222222222222193
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_squared_error
0.26457513110645886
root_mean_squared_error
0.29154759474226477
root_mean_squared_error
0.29999999999999977
root_mean_squared_error
0.277488738510232
root_mean_squared_error
0.2828427124746188
root_mean_squared_error
0.26832815729997456
root_mean_squared_error
0.28460498941515394
root_mean_squared_error
0.2626785107312738
root_mean_squared_error
0.29664793948382623
root_mean_squared_error
0.29154759474226477
root_relative_squared_error
0.8819171036881969
root_relative_squared_error
0.9718253158075498
root_relative_squared_error
0.9999999999999997
root_relative_squared_error
0.9249624617007739
root_relative_squared_error
0.9428090415820631
root_relative_squared_error
0.8944271909999157
root_relative_squared_error
0.9486832980505135
root_relative_squared_error
0.875595035770913
root_relative_squared_error
0.9888264649460881
root_relative_squared_error
0.9718253158075498
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
329.42353100224864
usercpu_time_millis
328.8246400006756
usercpu_time_millis
324.83933600087767
usercpu_time_millis
331.06021000276087
usercpu_time_millis
323.616628000309
usercpu_time_millis
330.22752499527996
usercpu_time_millis
334.4448960015143
usercpu_time_millis
326.7766240060155
usercpu_time_millis
323.2108789998165
usercpu_time_millis
324.83150999905774
usercpu_time_millis_testing
45.6871759997739
usercpu_time_millis_testing
45.883389000664465
usercpu_time_millis_testing
45.85341900019557
usercpu_time_millis_testing
45.728164001047844
usercpu_time_millis_testing
45.13651299930643
usercpu_time_millis_testing
46.30688799807103
usercpu_time_millis_testing
45.27429700101493
usercpu_time_millis_testing
45.619064003403764
usercpu_time_millis_testing
45.80237999834935
usercpu_time_millis_testing
45.36251299941796
usercpu_time_millis_training
283.73635500247474
usercpu_time_millis_training
282.9412510000111
usercpu_time_millis_training
278.9859170006821
usercpu_time_millis_training
285.332046001713
usercpu_time_millis_training
278.48011500100256
usercpu_time_millis_training
283.92063699720893
usercpu_time_millis_training
289.17059900049935
usercpu_time_millis_training
281.1575600026117
usercpu_time_millis_training
277.40849900146713
usercpu_time_millis_training
279.4689969996398
wall_clock_time_millis
332.43727684020996
wall_clock_time_millis
328.8419246673584
wall_clock_time_millis
324.8560428619385
wall_clock_time_millis
331.0742378234863
wall_clock_time_millis
323.6355781555176
wall_clock_time_millis
330.2454948425293
wall_clock_time_millis
334.4745635986328
wall_clock_time_millis
326.793909072876
wall_clock_time_millis
323.44865798950195
wall_clock_time_millis
324.88298416137695
wall_clock_time_millis_testing
45.81189155578613
wall_clock_time_millis_testing
45.89271545410156
wall_clock_time_millis_testing
45.86219787597656
wall_clock_time_millis_testing
45.73535919189453
wall_clock_time_millis_testing
45.14646530151367
wall_clock_time_millis_testing
46.31662368774414
wall_clock_time_millis_testing
45.28331756591797
wall_clock_time_millis_testing
45.627593994140625
wall_clock_time_millis_testing
45.810699462890625
wall_clock_time_millis_testing
45.37177085876465
wall_clock_time_millis_training
286.6253852844238
wall_clock_time_millis_training
282.94920921325684
wall_clock_time_millis_training
278.9938449859619
wall_clock_time_millis_training
285.3388786315918
wall_clock_time_millis_training
278.4891128540039
wall_clock_time_millis_training
283.92887115478516
wall_clock_time_millis_training
289.19124603271484
wall_clock_time_millis_training
281.16631507873535
wall_clock_time_millis_training
277.6379585266113
wall_clock_time_millis_training
279.5112133026123