5024533
1
Jan van Rijn
14
Supervised Classification
6952
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1)
3059930
axis
0
6947
categorical_features
[]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"most_frequent"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
6948
n_values
"auto"
6948
sparse
false
6948
threshold
0.0
6949
C
6091.976608704694
6953
cache_size
200
6953
class_weight
null
6953
coef0
0.041597232373098425
6953
decision_function_shape
null
6953
degree
5
6953
gamma
4.522011926198289
6953
kernel
"poly"
6953
max_iter
-1
6953
probability
true
6953
random_state
56661
6953
shrinking
false
6953
tol
0.0009586303854993964
6953
verbose
false
6953
openml-pimp
openml-python
Sklearn_0.18.1.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
10982778
description
https://api.openml.org/data/download/10982778/description.xml
-1
10982777
predictions
https://api.openml.org/data/download/10982777/predictions.arff
area_under_roc_curve
0.9855777777777778 [0.999992,0.977981,0.994806,0.992719,0.980775,0.996042,0.960572,0.994356,0.998856,0.959681]
average_cost
0
f_measure
0.8641375510988208 [0.992519,0.843672,0.962025,0.924242,0.865285,0.942643,0.616541,0.910412,0.975124,0.608911]
kappa
0.8488888888888889
kb_relative_information_score
1674.9110804229726
mean_absolute_error
0.04834692565936991
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8647626354880195 [0.99005,0.837438,0.974359,0.933673,0.897849,0.940299,0.61809,0.882629,0.970297,0.602941]
predictive_accuracy
0.8640000000000001
prior_entropy
3.321928094887362
recall
0.864 [0.995,0.85,0.95,0.915,0.835,0.945,0.615,0.94,0.98,0.615]
relative_absolute_error
0.26859403144093563
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1413170593973234
root_relative_squared_error
0.4710568646577374
total_cost
0
area_under_roc_curve
0.9897222222222223 [1,0.985556,0.999444,0.995833,0.995278,1,0.955,0.997222,1,0.968889]
area_under_roc_curve
0.9890000000000001 [1,0.981667,0.9975,0.992778,0.993333,0.986944,0.97,0.996667,0.999722,0.971389]
area_under_roc_curve
0.9815555555555556 [1,0.978333,1,0.966111,0.9925,0.9975,0.934722,0.993889,1,0.9525]
area_under_roc_curve
0.9953333333333333 [1,0.996389,0.999722,1,0.996944,0.998889,0.991389,1,0.996111,0.973889]
area_under_roc_curve
0.9820555555555557 [1,0.925833,0.998056,0.985556,0.994722,0.998611,0.965,0.991944,1,0.960833]
area_under_roc_curve
0.9851666666666666 [1,0.9725,0.999167,0.993611,0.971944,0.996667,0.966389,0.994167,1,0.957222]
area_under_roc_curve
0.9861388888888888 [1,0.988333,0.964444,0.999167,0.983611,0.997778,0.974722,0.9925,1,0.960833]
area_under_roc_curve
0.9871388888888889 [1,0.982222,0.9975,0.998611,0.975278,0.998056,0.962778,0.991111,0.998611,0.967222]
area_under_roc_curve
0.9864444444444445 [1,0.9825,1,0.996667,0.997778,0.988333,0.953611,0.997778,1,0.947778]
area_under_roc_curve
0.9773611111111111 [1,0.988056,0.991667,0.999444,0.923056,0.999722,0.941944,0.990278,0.994167,0.945278]
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
0.8441915512968143 [0.974359,0.844444,0.95,0.918919,0.857143,0.974359,0.564103,0.842105,0.952381,0.564103]
f_measure
0.8765129521740562 [1,0.85,0.923077,0.947368,0.926829,0.9,0.65,0.926829,0.974359,0.666667]
f_measure
0.8404107578497824 [1,0.780488,0.974359,0.918919,0.844444,0.9,0.512821,0.923077,1,0.55]
f_measure
0.9215949648763035 [1,0.95,0.974359,0.97561,0.9,0.923077,0.8,0.974359,0.974359,0.744186]
f_measure
0.8267847328822938 [0.97561,0.769231,0.974359,0.820513,0.8,0.952381,0.514286,0.863636,0.97561,0.622222]
f_measure
0.8729085384899339 [1,0.85,0.95,0.871795,0.857143,0.930233,0.711111,0.930233,1,0.628571]
f_measure
0.8836525665973078 [1,0.820513,0.947368,0.930233,0.894737,0.974359,0.717949,0.909091,0.97561,0.666667]
f_measure
0.8895362232974555 [1,0.894737,0.97561,0.926829,0.871795,0.974359,0.666667,0.926829,0.97561,0.682927]
f_measure
0.8595548694508303 [1,0.842105,1,0.952381,0.888889,0.95,0.486486,0.930233,1,0.545455]
f_measure
0.8198931755670515 [0.97561,0.837209,0.95,0.974359,0.8,0.95,0.521739,0.878049,0.923077,0.388889]
kappa
0.8277777777777777
kappa
0.8611111111111112
kappa
0.8222222222222222
kappa
0.9111111111111112
kappa
0.8111111111111111
kappa
0.8611111111111112
kappa
0.8722222222222222
kappa
0.8777777777777778
kappa
0.8444444444444444
kappa
0.7999999999999999
kb_relative_information_score
168.59880691298696
kb_relative_information_score
167.55234451415697
kb_relative_information_score
165.528549566378
kb_relative_information_score
172.93970361581268
kb_relative_information_score
163.31739126331126
kb_relative_information_score
166.88329761691332
kb_relative_information_score
167.46670623851765
kb_relative_information_score
168.2625608195914
kb_relative_information_score
170.0688901988616
kb_relative_information_score
164.29282967644514
mean_absolute_error
0.04771160367209668
mean_absolute_error
0.04973474209966985
mean_absolute_error
0.050622531573003754
mean_absolute_error
0.043672104066944856
mean_absolute_error
0.05233412191866367
mean_absolute_error
0.048284915794986054
mean_absolute_error
0.048267238621223084
mean_absolute_error
0.04827446069855756
mean_absolute_error
0.044042738085578924
mean_absolute_error
0.0505248000629744
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
0.8484056353003722 [1,0.76,0.95,1,0.818182,1,0.578947,0.888889,0.909091,0.578947]
precision
0.8793255866940077 [1,0.85,0.947368,1,0.904762,0.9,0.65,0.904762,1,0.636364]
precision
0.8445588972431078 [1,0.761905,1,1,0.76,0.9,0.526316,0.947368,1,0.55]
precision
0.9245401547346629 [1,0.95,1,0.952381,0.9,0.947368,0.8,1,1,0.695652]
precision
0.8330431761221234 [0.952381,0.789474,1,0.842105,0.933333,0.909091,0.6,0.791667,0.952381,0.56]
precision
0.8807200610221204 [1,0.85,0.95,0.894737,1,0.869565,0.64,0.869565,1,0.733333]
precision
0.8862881842286875 [1,0.842105,1,0.869565,0.944444,1,0.736842,0.833333,0.952381,0.684211]
precision
0.8904344193817877 [1,0.944444,0.952381,0.904762,0.894737,1,0.684211,0.904762,0.952381,0.666667]
precision
0.8646956780076985 [1,0.888889,1,0.909091,1,0.95,0.529412,0.869565,1,0.5]
precision
0.8271872721100411 [0.952381,0.782609,0.95,1,0.933333,0.95,0.461538,0.857143,0.947368,0.4375]
predictive_accuracy
0.845
predictive_accuracy
0.875
predictive_accuracy
0.84
predictive_accuracy
0.92
predictive_accuracy
0.83
predictive_accuracy
0.875
predictive_accuracy
0.885
predictive_accuracy
0.89
predictive_accuracy
0.86
predictive_accuracy
0.82
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
recall
0.845 [0.95,0.95,0.95,0.85,0.9,0.95,0.55,0.8,1,0.55]
recall
0.875 [1,0.85,0.9,0.9,0.95,0.9,0.65,0.95,0.95,0.7]
recall
0.84 [1,0.8,0.95,0.85,0.95,0.9,0.5,0.9,1,0.55]
recall
0.92 [1,0.95,0.95,1,0.9,0.9,0.8,0.95,0.95,0.8]
recall
0.83 [1,0.75,0.95,0.8,0.7,1,0.45,0.95,1,0.7]
recall
0.875 [1,0.85,0.95,0.85,0.75,1,0.8,1,1,0.55]
recall
0.885 [1,0.8,0.9,1,0.85,0.95,0.7,1,1,0.65]
recall
0.89 [1,0.85,1,0.95,0.85,0.95,0.65,0.95,1,0.7]
recall
0.86 [1,0.8,1,1,0.8,0.95,0.45,1,1,0.6]
recall
0.82 [1,0.9,0.95,0.95,0.7,0.95,0.6,0.9,0.9,0.35]
relative_absolute_error
0.26506446484498186
relative_absolute_error
0.2763041227759439
relative_absolute_error
0.28123628651668786
relative_absolute_error
0.2426228003719161
relative_absolute_error
0.290745121770354
relative_absolute_error
0.26824953219436726
relative_absolute_error
0.26815132567346184
relative_absolute_error
0.26819144832532005
relative_absolute_error
0.24468187825321652
relative_absolute_error
0.28069333368319144
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
0.1374597721561231
root_mean_squared_error
0.14211543797943857
root_mean_squared_error
0.14553010999375504
root_mean_squared_error
0.12284324920973451
root_mean_squared_error
0.1523968715507699
root_mean_squared_error
0.14052289359249473
root_mean_squared_error
0.14041733739224277
root_mean_squared_error
0.14166326808741803
root_mean_squared_error
0.1365177556205881
root_mean_squared_error
0.15149109365002036
root_relative_squared_error
0.4581992405204106
root_relative_squared_error
0.4737181265981289
root_relative_squared_error
0.48510036664585043
root_relative_squared_error
0.4094774973657819
root_relative_squared_error
0.5079895718359
root_relative_squared_error
0.4684096453083161
root_relative_squared_error
0.46805779130747616
root_relative_squared_error
0.472210893624727
root_relative_squared_error
0.45505918540196055
root_relative_squared_error
0.5049703121667348
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
18871.08413099986
usercpu_time_millis
19033.207383999525
usercpu_time_millis
18873.109446999933
usercpu_time_millis
16364.08294100056
usercpu_time_millis
13382.921662999706
usercpu_time_millis
13890.175611999894
usercpu_time_millis
13083.236912000302
usercpu_time_millis
13033.569082000213
usercpu_time_millis
13376.179851000416
usercpu_time_millis
13331.491294999978
usercpu_time_millis_testing
70.35243099971922
usercpu_time_millis_testing
70.86581499970634
usercpu_time_millis_testing
68.40018899993083
usercpu_time_millis_testing
59.72885600021982
usercpu_time_millis_testing
49.27509999970425
usercpu_time_millis_testing
49.99547099987467
usercpu_time_millis_testing
51.385049000145955
usercpu_time_millis_testing
47.073272000034194
usercpu_time_millis_testing
46.07770900020114
usercpu_time_millis_testing
46.76519800023016
usercpu_time_millis_training
18800.731700000142
usercpu_time_millis_training
18962.34156899982
usercpu_time_millis_training
18804.709258000003
usercpu_time_millis_training
16304.354085000341
usercpu_time_millis_training
13333.646563000002
usercpu_time_millis_training
13840.180141000019
usercpu_time_millis_training
13031.851863000156
usercpu_time_millis_training
12986.495810000179
usercpu_time_millis_training
13330.102142000214
usercpu_time_millis_training
13284.726096999748