8809273
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)
6784354
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
95.85182062572703
7708
cache_size
200
7708
class_weight
null
7708
coef0
-0.6345061810872974
7708
decision_function_shape
null
7708
degree
5
7708
gamma
0.00262075480471338
7708
kernel
"poly"
7708
max_iter
-1
7708
probability
true
7708
random_state
7190
7708
shrinking
false
7708
tol
0.012277094121133402
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
18534497
description
https://api.openml.org/data/download/18534497/description.xml
-1
18534498
predictions
https://api.openml.org/data/download/18534498/predictions.arff
area_under_roc_curve
0.9135538888888889 [0.992822,0.850336,0.960483,0.914436,0.862358,0.919531,0.866136,0.964872,0.945975,0.858589]
average_cost
0
f_measure
0.5985448277260811 [0.923885,0.34375,0.655113,0.64497,0.670487,0.766304,0.36,0.767327,0.496644,0.356968]
kappa
0.5483333333333333
kb_relative_information_score
871.0604469389551
mean_absolute_error
0.13363843835022732
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.6555563768009123 [0.972376,0.263298,0.501326,0.789855,0.785235,0.839286,0.54,0.759804,0.755102,0.349282]
predictive_accuracy
0.5935
prior_entropy
3.321928094887362
recall
0.5935 [0.88,0.495,0.945,0.545,0.585,0.705,0.27,0.775,0.37,0.365]
relative_absolute_error
0.7424357686123512
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.24624747865322869
root_relative_squared_error
0.820824928844083
total_cost
0
area_under_roc_curve
0.9141666666666666 [0.988056,0.801389,0.971944,0.895833,0.904444,0.979167,0.820833,0.949722,0.953056,0.877222]
area_under_roc_curve
0.9186666666666666 [0.995833,0.851667,0.945,0.960833,0.859722,0.927778,0.806389,0.964722,0.937222,0.9375]
area_under_roc_curve
0.9030555555555556 [0.996944,0.830556,0.988333,0.897778,0.8475,0.891944,0.898333,0.923056,0.971667,0.784444]
area_under_roc_curve
0.9322777777777778 [0.992222,0.891389,0.9975,0.926667,0.920833,0.945556,0.857778,0.963056,0.9125,0.915278]
area_under_roc_curve
0.9161111111111111 [0.998333,0.8625,0.952222,0.870833,0.839167,0.9,0.880278,0.990833,0.964167,0.902778]
area_under_roc_curve
0.9190555555555555 [1,0.876944,0.993611,0.895833,0.888889,0.935278,0.846389,0.976389,0.975,0.802222]
area_under_roc_curve
0.901722222222222 [0.978333,0.833333,0.932778,0.935,0.861111,0.826944,0.93,0.990278,0.954722,0.774722]
area_under_roc_curve
0.9231944444444443 [0.988333,0.848611,0.974722,0.956389,0.800278,0.959167,0.904722,0.971111,0.938333,0.890278]
area_under_roc_curve
0.9235555555555554 [0.992222,0.848889,0.946111,0.9125,0.910278,0.916944,0.916111,0.973056,0.969167,0.850278]
area_under_roc_curve
0.89875 [1,0.867778,0.923333,0.908611,0.795556,0.938056,0.848889,0.961389,0.876944,0.866944]
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
0.5736428795180669 [0.864865,0.321429,0.57971,0.6875,0.756757,0.871795,0.206897,0.571429,0.551724,0.324324]
f_measure
0.5619655602888487 [0.888889,0.25,0.590164,0.6875,0.647059,0.742857,0.333333,0.761905,0.333333,0.384615]
f_measure
0.5936417339897734 [0.857143,0.295082,0.612903,0.588235,0.631579,0.777778,0.516129,0.666667,0.580645,0.410256]
f_measure
0.6702647055061213 [0.894737,0.482759,0.769231,0.702703,0.8,0.810811,0.4,0.780488,0.588235,0.473684]
f_measure
0.6210137854201201 [0.97561,0.382353,0.745098,0.428571,0.580645,0.742857,0.387097,0.883721,0.645161,0.439024]
f_measure
0.5658142026802726 [0.97561,0.45283,0.689655,0.666667,0.615385,0.769231,0.285714,0.772727,0.173913,0.25641]
f_measure
0.585928115895329 [0.864865,0.262295,0.72,0.666667,0.628571,0.514286,0.466667,0.904762,0.545455,0.285714]
f_measure
0.6193076508033938 [0.974359,0.315789,0.59375,0.647059,0.5625,0.777778,0.545455,0.702703,0.6,0.473684]
f_measure
0.607025251599731 [0.947368,0.4,0.745098,0.666667,0.75,0.756757,0.16,0.829268,0.4,0.415094]
f_measure
0.5550626356448022 [0.974359,0.259259,0.576271,0.666667,0.722222,0.871795,0.242424,0.73913,0.444444,0.054054]
kappa
0.5222222222222221
kappa
0.5055555555555556
kappa
0.5277777777777778
kappa
0.6333333333333334
kappa
0.5777777777777778
kappa
0.5499999999999999
kappa
0.5333333333333333
kappa
0.5611111111111111
kappa
0.5666666666666667
kappa
0.5055555555555556
kb_relative_information_score
85.57644791346371
kb_relative_information_score
89.12577971538477
kb_relative_information_score
79.4595986924089
kb_relative_information_score
96.02790392421021
kb_relative_information_score
86.83426839115782
kb_relative_information_score
88.32544309203
kb_relative_information_score
83.84900371566164
kb_relative_information_score
86.57763165365598
kb_relative_information_score
85.75788572594989
kb_relative_information_score
89.52648411503067
mean_absolute_error
0.13434947439224454
mean_absolute_error
0.13296474226968133
mean_absolute_error
0.14112454865519802
mean_absolute_error
0.12603587926407026
mean_absolute_error
0.13367146435996508
mean_absolute_error
0.13288041423927294
mean_absolute_error
0.136620026516424
mean_absolute_error
0.1340878236946749
mean_absolute_error
0.1348895752065453
mean_absolute_error
0.12976043490419875
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
0.6476102721790471 [0.941176,0.25,0.408163,0.916667,0.823529,0.894737,0.333333,0.666667,0.888889,0.352941]
precision
0.6262130450849963 [1,0.214286,0.439024,0.916667,0.785714,0.866667,0.5,0.727273,0.5,0.3125]
precision
0.6740506551642623 [1,0.219512,0.452381,0.714286,0.666667,0.875,0.727273,0.846154,0.818182,0.421053]
precision
0.7094448130129244 [0.944444,0.368421,0.625,0.764706,0.933333,0.882353,0.6,0.761905,0.714286,0.5]
precision
0.6980169836007845 [0.952381,0.270833,0.612903,0.75,0.818182,0.866667,0.545455,0.826087,0.909091,0.428571]
precision
0.615154363180679 [0.952381,0.363636,0.526316,0.75,0.631579,0.789474,0.5,0.708333,0.666667,0.263158]
precision
0.6295272780782107 [0.941176,0.195122,0.6,0.636364,0.733333,0.6,0.7,0.863636,0.692308,0.333333]
precision
0.6942789285436345 [1,0.243243,0.431818,0.785714,0.75,0.875,0.692308,0.764706,0.9,0.5]
precision
0.6725443626582147 [1,0.3,0.612903,0.846154,1,0.823529,0.4,0.809524,0.6,0.333333]
precision
0.6226521479036959 [1,0.205882,0.435897,1,0.8125,0.894737,0.307692,0.653846,0.857143,0.058824]
predictive_accuracy
0.57
predictive_accuracy
0.555
predictive_accuracy
0.575
predictive_accuracy
0.67
predictive_accuracy
0.62
predictive_accuracy
0.595
predictive_accuracy
0.58
predictive_accuracy
0.605
predictive_accuracy
0.61
predictive_accuracy
0.555
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
0.57 [0.8,0.45,1,0.55,0.7,0.85,0.15,0.5,0.4,0.3]
recall
0.555 [0.8,0.3,0.9,0.55,0.55,0.65,0.25,0.8,0.25,0.5]
recall
0.575 [0.75,0.45,0.95,0.5,0.6,0.7,0.4,0.55,0.45,0.4]
recall
0.67 [0.85,0.7,1,0.65,0.7,0.75,0.3,0.8,0.5,0.45]
recall
0.62 [1,0.65,0.95,0.3,0.45,0.65,0.3,0.95,0.5,0.45]
recall
0.595 [1,0.6,1,0.6,0.6,0.75,0.2,0.85,0.1,0.25]
recall
0.58 [0.8,0.4,0.9,0.7,0.55,0.45,0.35,0.95,0.45,0.25]
recall
0.605 [0.95,0.45,0.95,0.55,0.45,0.7,0.45,0.65,0.45,0.45]
recall
0.61 [0.9,0.6,0.95,0.55,0.6,0.7,0.1,0.85,0.3,0.55]
recall
0.555 [0.95,0.35,0.85,0.5,0.65,0.85,0.2,0.85,0.3,0.05]
relative_absolute_error
0.7463859688458038
relative_absolute_error
0.7386930126093415
relative_absolute_error
0.7840252703066567
relative_absolute_error
0.7001993292448355
relative_absolute_error
0.7426192464442513
relative_absolute_error
0.7382245235515171
relative_absolute_error
0.7590001473134674
relative_absolute_error
0.7449323538593059
relative_absolute_error
0.7493865289252524
relative_absolute_error
0.7208913050233272
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
0.24618176915218987
root_mean_squared_error
0.24451520691139603
root_mean_squared_error
0.2539219423494607
root_mean_squared_error
0.2374601875039956
root_mean_squared_error
0.24595005955454902
root_mean_squared_error
0.24558846423244743
root_mean_squared_error
0.2503745754334686
root_mean_squared_error
0.24565935317791637
root_mean_squared_error
0.24503057543800508
root_mean_squared_error
0.24746779551134124
root_relative_squared_error
0.8206058971739667
root_relative_squared_error
0.8150506897046539
root_relative_squared_error
0.8464064744982028
root_relative_squared_error
0.7915339583466525
root_relative_squared_error
0.8198335318484972
root_relative_squared_error
0.8186282141081586
root_relative_squared_error
0.8345819181115623
root_relative_squared_error
0.8188645105930551
root_relative_squared_error
0.8167685847933508
root_relative_squared_error
0.8248926517044712
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
3446.2692519991833
usercpu_time_millis
3346.1857799957215
usercpu_time_millis
3383.1486380004208
usercpu_time_millis
3254.206030000205
usercpu_time_millis
3332.878974000778
usercpu_time_millis
3236.194727000111
usercpu_time_millis
3291.5469219988154
usercpu_time_millis
3261.973226999544
usercpu_time_millis
3250.353373998223
usercpu_time_millis
3238.3429140027147
usercpu_time_millis_testing
50.62416799773928
usercpu_time_millis_testing
46.55099499723292
usercpu_time_millis_testing
46.68357600166928
usercpu_time_millis_testing
46.629422999103554
usercpu_time_millis_testing
46.63830500066979
usercpu_time_millis_testing
46.43458200007444
usercpu_time_millis_testing
47.84871599986218
usercpu_time_millis_testing
47.19883399957325
usercpu_time_millis_testing
46.73837899827049
usercpu_time_millis_testing
48.37789700104622
usercpu_time_millis_training
3395.645084001444
usercpu_time_millis_training
3299.6347849984886
usercpu_time_millis_training
3336.4650619987515
usercpu_time_millis_training
3207.5766070011014
usercpu_time_millis_training
3286.240669000108
usercpu_time_millis_training
3189.7601450000366
usercpu_time_millis_training
3243.698205998953
usercpu_time_millis_training
3214.7743929999706
usercpu_time_millis_training
3203.6149949999526
usercpu_time_millis_training
3189.9650170016685