8829603
1
Jan van Rijn
14
Supervised Classification
7707
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1)
6804653
axis
0
7660
categorical_features
[]
7660
copy
true
7660
fill_empty
0
7660
missing_values
"NaN"
7660
strategy
"mean"
7660
strategy_nominal
"most_frequent"
7660
verbose
0
7660
categorical_features
[]
7661
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
7661
handle_unknown
"ignore"
7661
n_values
"auto"
7661
sparse
true
7661
threshold
0.0
7662
copy
true
7663
with_mean
false
7663
with_std
true
7663
C
608.9010520206724
7708
cache_size
200
7708
class_weight
null
7708
coef0
0.8007121289688999
7708
decision_function_shape
null
7708
degree
5
7708
gamma
0.47315626286706564
7708
kernel
"poly"
7708
max_iter
-1
7708
probability
true
7708
random_state
64737
7708
shrinking
false
7708
tol
0.001461200188813558
7708
verbose
false
7708
openml-pimp
openml-python
Sklearn_0.18.1.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
18574994
description
https://api.openml.org/data/download/18574994/description.xml
-1
18574995
predictions
https://api.openml.org/data/download/18574995/predictions.arff
area_under_roc_curve
0.9778725000000001 [0.999994,0.964397,0.992469,0.989267,0.958397,0.993464,0.949328,0.991992,0.991047,0.948369]
average_cost
0
f_measure
0.8305069062499346 [0.992481,0.795062,0.964467,0.884422,0.782842,0.910891,0.574939,0.882927,0.958435,0.558603]
kappa
0.8116666666666666
kb_relative_information_score
1575.0798664956744
mean_absolute_error
0.06135841188232091
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8316637606989696 [0.994975,0.785366,0.979381,0.888889,0.843931,0.901961,0.565217,0.861905,0.937799,0.557214]
predictive_accuracy
0.8305
prior_entropy
3.321928094887362
recall
0.8305 [0.99,0.805,0.95,0.88,0.73,0.92,0.585,0.905,0.98,0.56]
relative_absolute_error
0.3408800660128835
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.15950716947553434
root_relative_squared_error
0.5316905649184397
total_cost
0
area_under_roc_curve
0.9854722222222223 [1,0.971111,1,0.993333,0.989167,1,0.941667,0.992778,1,0.966667]
area_under_roc_curve
0.9817500000000002 [1,0.950278,0.994722,0.993056,0.989444,0.991111,0.958056,0.991667,0.990278,0.958889]
area_under_roc_curve
0.9780555555555556 [1,0.954167,1,0.986944,0.987778,0.996389,0.920278,0.993889,1,0.941111]
area_under_roc_curve
0.9843611111111111 [1,0.979722,0.999722,0.993056,0.974167,0.993333,0.979167,0.992222,0.971667,0.960556]
area_under_roc_curve
0.9752500000000001 [1,0.940833,0.997222,0.978056,0.955556,0.994444,0.946667,0.993611,1,0.946111]
area_under_roc_curve
0.9746666666666667 [1,0.938333,0.998611,0.963611,0.953056,0.996667,0.959444,0.990833,1,0.946111]
area_under_roc_curve
0.9799722222222222 [1,0.985,0.961944,0.997778,0.972778,0.989722,0.960556,0.993333,1,0.938611]
area_under_roc_curve
0.982 [1,0.983889,0.997222,1,0.932778,0.995556,0.9525,0.989722,0.998611,0.969722]
area_under_roc_curve
0.9795 [1,0.956667,1,0.996667,0.986667,0.978611,0.949444,0.996389,1,0.930556]
area_under_roc_curve
0.9613333333333333 [1,0.981944,0.979722,0.996111,0.855556,0.997222,0.927778,0.987778,0.951944,0.935278]
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
0.8396999008337876 [0.974359,0.765957,0.97561,0.918919,0.85,0.974359,0.619048,0.810811,0.952381,0.555556]
f_measure
0.8506660787662073 [1,0.809524,0.947368,0.918919,0.871795,0.9,0.634146,0.904762,0.904762,0.615385]
f_measure
0.815191694322129 [1,0.717949,1,0.864865,0.857143,0.904762,0.478261,0.871795,1,0.457143]
f_measure
0.849118963490789 [0.974359,0.789474,0.974359,0.869565,0.820513,0.871795,0.731707,0.923077,0.904762,0.631579]
f_measure
0.7811634407526578 [0.97561,0.7,0.947368,0.780488,0.666667,0.904762,0.473684,0.863636,0.97561,0.52381]
f_measure
0.8304276090476346 [1,0.820513,0.95,0.789474,0.722222,0.904762,0.619048,0.926829,1,0.571429]
f_measure
0.8353366564855653 [1,0.8,0.947368,0.9,0.810811,0.871795,0.634146,0.863636,0.97561,0.55]
f_measure
0.8693404242313099 [1,0.9,0.95,0.95,0.736842,0.9,0.666667,0.9,0.97561,0.714286]
f_measure
0.8480742312857552 [1,0.842105,1,0.97561,0.823529,0.926829,0.470588,0.888889,1,0.553191]
f_measure
0.7806543541540705 [1,0.809524,0.95,0.878049,0.628571,0.95,0.418605,0.871795,0.9,0.4]
kappa
0.8222222222222222
kappa
0.8333333333333333
kappa
0.7944444444444444
kappa
0.8333333333333333
kappa
0.7611111111111112
kappa
0.8111111111111111
kappa
0.8166666666666667
kappa
0.8555555555555555
kappa
0.8333333333333333
kappa
0.7555555555555555
kb_relative_information_score
157.84459387029017
kb_relative_information_score
156.44437829969863
kb_relative_information_score
155.32470880586916
kb_relative_information_score
159.39946990534543
kb_relative_information_score
153.05331844915884
kb_relative_information_score
157.2167495038507
kb_relative_information_score
159.86855126165568
kb_relative_information_score
160.46173917422828
kb_relative_information_score
161.93409591232285
kb_relative_information_score
153.53226131325212
mean_absolute_error
0.06290410152995386
mean_absolute_error
0.0641815025889848
mean_absolute_error
0.06376575019064858
mean_absolute_error
0.05970112341030661
mean_absolute_error
0.06485459565628048
mean_absolute_error
0.059494198754139305
mean_absolute_error
0.05788688479949821
mean_absolute_error
0.060364446062887704
mean_absolute_error
0.05703229633594165
mean_absolute_error
0.06339921949456792
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
0.847640056022409 [1,0.666667,0.952381,1,0.85,1,0.590909,0.882353,0.909091,0.625]
precision
0.8545363408521303 [1,0.772727,1,1,0.894737,0.9,0.619048,0.863636,0.863636,0.631579]
precision
0.8210983856185095 [1,0.736842,1,0.941176,0.818182,0.863636,0.423077,0.894737,1,0.533333]
precision
0.8531363373468638 [1,0.833333,1,0.769231,0.842105,0.894737,0.714286,0.947368,0.863636,0.666667]
precision
0.7868123543123544 [0.952381,0.7,1,0.761905,0.846154,0.863636,0.5,0.791667,0.952381,0.5]
precision
0.8342700501253133 [1,0.842105,0.95,0.833333,0.8125,0.863636,0.590909,0.904762,1,0.545455]
precision
0.8390185021376972 [1,0.8,1,0.9,0.882353,0.894737,0.619048,0.791667,0.952381,0.55]
precision
0.8696187438292701 [1,0.9,0.95,0.95,0.777778,0.9,0.684211,0.9,0.952381,0.681818]
precision
0.8598941798941797 [1,0.888889,1,0.952381,1,0.904762,0.571429,0.8,1,0.481481]
precision
0.7849244653134814 [1,0.772727,0.95,0.857143,0.733333,0.95,0.391304,0.894737,0.9,0.4]
predictive_accuracy
0.84
predictive_accuracy
0.85
predictive_accuracy
0.815
predictive_accuracy
0.85
predictive_accuracy
0.785
predictive_accuracy
0.83
predictive_accuracy
0.835
predictive_accuracy
0.87
predictive_accuracy
0.85
predictive_accuracy
0.78
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
0.84 [0.95,0.9,1,0.85,0.85,0.95,0.65,0.75,1,0.5]
recall
0.85 [1,0.85,0.9,0.85,0.85,0.9,0.65,0.95,0.95,0.6]
recall
0.815 [1,0.7,1,0.8,0.9,0.95,0.55,0.85,1,0.4]
recall
0.85 [0.95,0.75,0.95,1,0.8,0.85,0.75,0.9,0.95,0.6]
recall
0.785 [1,0.7,0.9,0.8,0.55,0.95,0.45,0.95,1,0.55]
recall
0.83 [1,0.8,0.95,0.75,0.65,0.95,0.65,0.95,1,0.6]
recall
0.835 [1,0.8,0.9,0.9,0.75,0.85,0.65,0.95,1,0.55]
recall
0.87 [1,0.9,0.95,0.95,0.7,0.9,0.65,0.9,1,0.75]
recall
0.85 [1,0.8,1,1,0.7,0.95,0.4,1,1,0.65]
recall
0.78 [1,0.85,0.95,0.9,0.55,0.95,0.45,0.85,0.9,0.4]
relative_absolute_error
0.34946723072196634
relative_absolute_error
0.3565639032721382
relative_absolute_error
0.35425416772582585
relative_absolute_error
0.3316729078350371
relative_absolute_error
0.36030330920155856
relative_absolute_error
0.3305233264118854
relative_absolute_error
0.3215938044416571
relative_absolute_error
0.33535803368270983
relative_absolute_error
0.31684609075523174
relative_absolute_error
0.3522178860809333
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
0.15736512079204393
root_mean_squared_error
0.16148423920567864
root_mean_squared_error
0.16177079878020037
root_mean_squared_error
0.15386282568656395
root_mean_squared_error
0.17097290708615137
root_mean_squared_error
0.159696915007633
root_mean_squared_error
0.15336684334484424
root_mean_squared_error
0.15439884073421553
root_mean_squared_error
0.15167576868596147
root_mean_squared_error
0.16923386433112397
root_relative_squared_error
0.5245504026401467
root_relative_squared_error
0.5382807973522624
root_relative_squared_error
0.5392359959340015
root_relative_squared_error
0.5128760856218801
root_relative_squared_error
0.5699096902871716
root_relative_squared_error
0.5323230500254437
root_relative_squared_error
0.5112228111494811
root_relative_squared_error
0.5146628024473854
root_relative_squared_error
0.5055858956198719
root_relative_squared_error
0.5641128811037469
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
3069.246258000021
usercpu_time_millis
3138.313786999788
usercpu_time_millis
2980.1743039997746
usercpu_time_millis
3033.2542300002387
usercpu_time_millis
3000.07051700004
usercpu_time_millis
3008.0996399997275
usercpu_time_millis
3007.721195999693
usercpu_time_millis
2986.7380390001017
usercpu_time_millis
2969.870094000271
usercpu_time_millis
3150.119411000105
usercpu_time_millis_testing
38.053135000154725
usercpu_time_millis_testing
42.27645599985408
usercpu_time_millis_testing
38.176365999788686
usercpu_time_millis_testing
38.16938699992534
usercpu_time_millis_testing
38.38801900019462
usercpu_time_millis_testing
38.56239800006733
usercpu_time_millis_testing
38.03986100001566
usercpu_time_millis_testing
37.95268700014276
usercpu_time_millis_testing
38.195259000076476
usercpu_time_millis_testing
38.1520040000396
usercpu_time_millis_training
3031.1931229998663
usercpu_time_millis_training
3096.037330999934
usercpu_time_millis_training
2941.997937999986
usercpu_time_millis_training
2995.0848430003134
usercpu_time_millis_training
2961.6824979998455
usercpu_time_millis_training
2969.53724199966
usercpu_time_millis_training
2969.6813349996773
usercpu_time_millis_training
2948.785351999959
usercpu_time_millis_training
2931.6748350001944
usercpu_time_millis_training
3111.9674070000656