10327046
8323
Heinrich Peters
16
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8182714
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
4297.397059178814
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.013499300518863278
13389
decision_function_shape
"ovr"
13389
degree
5
13389
gamma
0.1820082271280914
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
42352
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.
16
mfeat-karhunen
https://www.openml.org/data/download/16/dataset_16_mfeat-karhunen.arff
-1
21575778
description
https://api.openml.org/data/download/21575778/description.xml
-1
21575779
predictions
https://api.openml.org/data/download/21575779/predictions.arff
area_under_roc_curve
0.7269444444444444 [0.795,0.695,0.7575,0.7,0.7675,0.62,0.68,0.7875,0.727222,0.739722]
average_cost
0
f_measure
0.5834221922154289 [0.742138,0.561151,0.679868,0.571429,0.697068,0.387097,0.529412,0.730159,0.289436,0.646465]
kappa
0.45388888888888884
kb_relative_information_score
0.48601019338944096
mean_absolute_error
0.0982999999999987
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.915889545938214 [1,1,1,1,1,1,1,1,0.169205,0.989691]
predictive_accuracy
0.5085000000000001
prior_entropy
3.3219280948872383
recall
0.5085 [0.59,0.39,0.515,0.4,0.535,0.24,0.36,0.575,1,0.48]
relative_absolute_error
0.546111111111087
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.3135283081318156
root_relative_squared_error
1.0450943604393692
total_cost
0
area_under_roc_curve
0.7277777777777777 [0.775,0.725,0.75,0.625,0.9,0.7,0.6,0.725,0.727778,0.75]
area_under_roc_curve
0.7361111111111112 [0.775,0.675,0.775,0.675,0.75,0.55,0.8,0.825,0.736111,0.8]
area_under_roc_curve
0.7083333333333335 [0.725,0.65,0.8,0.6,0.825,0.65,0.675,0.725,0.708333,0.725]
area_under_roc_curve
0.7361111111111112 [0.825,0.725,0.775,0.675,0.725,0.625,0.725,0.8,0.736111,0.75]
area_under_roc_curve
0.7527777777777778 [0.825,0.7,0.775,0.825,0.775,0.75,0.7,0.725,0.752778,0.7]
area_under_roc_curve
0.6916666666666665 [0.825,0.8,0.7,0.675,0.625,0.6,0.6,0.75,0.691667,0.65]
area_under_roc_curve
0.7194444444444444 [0.775,0.675,0.725,0.7,0.725,0.625,0.6,0.85,0.719444,0.8]
area_under_roc_curve
0.7555555555555554 [0.8,0.7,0.75,0.7,0.8,0.55,0.775,0.875,0.758333,0.847222]
area_under_roc_curve
0.7194444444444444 [0.825,0.575,0.75,0.825,0.725,0.55,0.675,0.85,0.719444,0.7]
area_under_roc_curve
0.7222222222222223 [0.8,0.725,0.775,0.7,0.825,0.6,0.65,0.75,0.722222,0.675]
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
0.5767895929147562 [0.709677,0.62069,0.666667,0.4,0.888889,0.571429,0.333333,0.62069,0.289855,0.666667]
f_measure
0.5889051808406647 [0.709677,0.518519,0.709677,0.518519,0.666667,0.181818,0.75,0.787879,0.296296,0.75]
f_measure
0.5450738597290321 [0.62069,0.461538,0.75,0.333333,0.787879,0.461538,0.518519,0.62069,0.275862,0.62069]
f_measure
0.5991106654232349 [0.787879,0.62069,0.709677,0.518519,0.62069,0.4,0.62069,0.75,0.296296,0.666667]
f_measure
0.6306831969971892 [0.787879,0.571429,0.709677,0.787879,0.709677,0.666667,0.571429,0.62069,0.310078,0.571429]
f_measure
0.5087598334949329 [0.787879,0.75,0.571429,0.518519,0.4,0.333333,0.333333,0.666667,0.264901,0.461538]
f_measure
0.5631554508007208 [0.709677,0.518519,0.62069,0.571429,0.62069,0.4,0.333333,0.823529,0.283688,0.75]
f_measure
0.6173122897760946 [0.75,0.571429,0.666667,0.571429,0.75,0.181818,0.709677,0.857143,0.314961,0.8]
f_measure
0.5502966089606437 [0.787879,0.26087,0.666667,0.787879,0.62069,0.181818,0.518519,0.823529,0.283688,0.571429]
f_measure
0.5705445699605878 [0.75,0.62069,0.709677,0.571429,0.787879,0.333333,0.461538,0.666667,0.285714,0.518519]
kappa
0.4555555555555556
kappa
0.47222222222222227
kappa
0.41666666666666663
kappa
0.47222222222222227
kappa
0.5055555555555556
kappa
0.3833333333333333
kappa
0.4388888888888889
kappa
0.5111111111111112
kappa
0.4388888888888889
kappa
0.4444444444444445
kb_relative_information_score
0.48757882962527144
kb_relative_information_score
0.5032651919836814
kb_relative_information_score
0.45097731745564756
kb_relative_information_score
0.5032651919836815
kb_relative_information_score
0.5346379167005019
kb_relative_information_score
0.4196045927388273
kb_relative_information_score
0.47189246726686107
kb_relative_information_score
0.5398667041533052
kb_relative_information_score
0.471892467266861
kb_relative_information_score
0.47712125471966454
mean_absolute_error
0.09799999999999981
mean_absolute_error
0.09499999999999982
mean_absolute_error
0.10499999999999979
mean_absolute_error
0.09499999999999982
mean_absolute_error
0.08899999999999984
mean_absolute_error
0.11099999999999977
mean_absolute_error
0.1009999999999998
mean_absolute_error
0.08799999999999984
mean_absolute_error
0.1009999999999998
mean_absolute_error
0.09999999999999981
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
0.9169491525423729 [1,1,1,1,1,1,1,1,0.169492,1]
precision
0.9173913043478261 [1,1,1,1,1,1,1,1,0.173913,1]
precision
0.9159999999999999 [1,1,1,1,1,1,1,1,0.16,1]
precision
0.9173913043478261 [1,1,1,1,1,1,1,1,0.173913,1]
precision
0.918348623853211 [1,1,1,1,1,1,1,1,0.183486,1]
precision
0.9152671755725191 [1,1,1,1,1,1,1,1,0.152672,1]
precision
0.9165289256198348 [1,1,1,1,1,1,1,1,0.165289,1]
precision
0.91202492211838 [1,1,1,1,1,1,1,1,0.186916,0.933333]
precision
0.9165289256198348 [1,1,1,1,1,1,1,1,0.165289,1]
precision
0.9166666666666667 [1,1,1,1,1,1,1,1,0.166667,1]
predictive_accuracy
0.51
predictive_accuracy
0.525
predictive_accuracy
0.475
predictive_accuracy
0.525
predictive_accuracy
0.555
predictive_accuracy
0.445
predictive_accuracy
0.495
predictive_accuracy
0.56
predictive_accuracy
0.495
predictive_accuracy
0.5
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
0.51 [0.55,0.45,0.5,0.25,0.8,0.4,0.2,0.45,1,0.5]
recall
0.525 [0.55,0.35,0.55,0.35,0.5,0.1,0.6,0.65,1,0.6]
recall
0.475 [0.45,0.3,0.6,0.2,0.65,0.3,0.35,0.45,1,0.45]
recall
0.525 [0.65,0.45,0.55,0.35,0.45,0.25,0.45,0.6,1,0.5]
recall
0.555 [0.65,0.4,0.55,0.65,0.55,0.5,0.4,0.45,1,0.4]
recall
0.445 [0.65,0.6,0.4,0.35,0.25,0.2,0.2,0.5,1,0.3]
recall
0.495 [0.55,0.35,0.45,0.4,0.45,0.25,0.2,0.7,1,0.6]
recall
0.56 [0.6,0.4,0.5,0.4,0.6,0.1,0.55,0.75,1,0.7]
recall
0.495 [0.65,0.15,0.5,0.65,0.45,0.1,0.35,0.7,1,0.4]
recall
0.5 [0.6,0.45,0.55,0.4,0.65,0.2,0.3,0.5,1,0.35]
relative_absolute_error
0.544444444444444
relative_absolute_error
0.5277777777777773
relative_absolute_error
0.5833333333333328
relative_absolute_error
0.5277777777777773
relative_absolute_error
0.49444444444444413
relative_absolute_error
0.616666666666666
relative_absolute_error
0.5611111111111107
relative_absolute_error
0.4888888888888886
relative_absolute_error
0.5611111111111107
relative_absolute_error
0.555555555555555
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
0.31304951684997023
root_mean_squared_error
0.30822070014844855
root_mean_squared_error
0.3240370349203927
root_mean_squared_error
0.30822070014844855
root_mean_squared_error
0.2983286778035257
root_mean_squared_error
0.3331666249791533
root_mean_squared_error
0.31780497164141375
root_mean_squared_error
0.29664793948382623
root_mean_squared_error
0.31780497164141375
root_mean_squared_error
0.3162277660168376
root_relative_squared_error
1.0434983894999013
root_relative_squared_error
1.0274023338281624
root_relative_squared_error
1.080123449734643
root_relative_squared_error
1.0274023338281624
root_relative_squared_error
0.9944289260117529
root_relative_squared_error
1.1105554165971783
root_relative_squared_error
1.0593499054713797
root_relative_squared_error
0.9888264649460881
root_relative_squared_error
1.0593499054713797
root_relative_squared_error
1.0540925533894592
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
1053.4983660036232
usercpu_time_millis
1055.3761139963171
usercpu_time_millis
1053.2784200040624
usercpu_time_millis
1052.521853998769
usercpu_time_millis
1062.2786069943686
usercpu_time_millis
1051.7290889983997
usercpu_time_millis
1055.6818340046448
usercpu_time_millis
1054.7396699985256
usercpu_time_millis
1060.9736269980203
usercpu_time_millis
1059.445983999467
usercpu_time_millis_testing
56.33506300364388
usercpu_time_millis_testing
58.0624789945432
usercpu_time_millis_testing
56.527555003413
usercpu_time_millis_testing
56.81218700192403
usercpu_time_millis_testing
56.414396000036504
usercpu_time_millis_testing
56.426025003020186
usercpu_time_millis_testing
57.887062001100276
usercpu_time_millis_testing
56.30233199917711
usercpu_time_millis_testing
56.3253820000682
usercpu_time_millis_testing
57.29153099673567
usercpu_time_millis_training
997.1633029999794
usercpu_time_millis_training
997.313635001774
usercpu_time_millis_training
996.7508650006494
usercpu_time_millis_training
995.709666996845
usercpu_time_millis_training
1005.8642109943321
usercpu_time_millis_training
995.3030639953795
usercpu_time_millis_training
997.7947720035445
usercpu_time_millis_training
998.4373379993485
usercpu_time_millis_training
1004.6482449979521
usercpu_time_millis_training
1002.1544530027313
wall_clock_time_millis
1053.5929203033447
wall_clock_time_millis
1071.5110301971436
wall_clock_time_millis
1261.4307403564453
wall_clock_time_millis
1052.612543106079
wall_clock_time_millis
1234.391450881958
wall_clock_time_millis
1207.8297138214111
wall_clock_time_millis
1087.8169536590576
wall_clock_time_millis
1086.8616104125977
wall_clock_time_millis
1093.059778213501
wall_clock_time_millis
1083.6093425750732
wall_clock_time_millis_testing
56.3504695892334
wall_clock_time_millis_testing
58.07805061340332
wall_clock_time_millis_testing
56.54335021972656
wall_clock_time_millis_testing
56.82873725891113
wall_clock_time_millis_testing
56.42890930175781
wall_clock_time_millis_testing
72.43609428405762
wall_clock_time_millis_testing
57.90114402770996
wall_clock_time_millis_testing
56.31613731384277
wall_clock_time_millis_testing
56.340694427490234
wall_clock_time_millis_testing
57.30581283569336
wall_clock_time_millis_training
997.2424507141113
wall_clock_time_millis_training
1013.4329795837402
wall_clock_time_millis_training
1204.8873901367188
wall_clock_time_millis_training
995.783805847168
wall_clock_time_millis_training
1177.9625415802002
wall_clock_time_millis_training
1135.3936195373535
wall_clock_time_millis_training
1029.9158096313477
wall_clock_time_millis_training
1030.5454730987549
wall_clock_time_millis_training
1036.7190837860107
wall_clock_time_millis_training
1026.3035297393799