10438210
10792
George Volkov
14
Supervised Classification
17487
sklearn.linear_model._logistic.LogisticRegression(1)
8261110
C
10
17487
class_weight
null
17487
dual
false
17487
fit_intercept
true
17487
intercept_scaling
1
17487
l1_ratio
null
17487
max_iter
10000
17487
multi_class
"auto"
17487
n_jobs
null
17487
penalty
"l2"
17487
random_state
23446
17487
solver
"lbfgs"
17487
tol
0.0001
17487
verbose
0
17487
warm_start
false
17487
openml-python
Sklearn_0.22.1.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
21800837
description
https://api.openml.org/data/download/21800837/description.xml
-1
21800838
predictions
https://api.openml.org/data/download/21800838/predictions.arff
area_under_roc_curve
0.9813644444444444 [0.999997,0.966472,0.99685,0.991581,0.971811,0.994603,0.953339,0.992575,0.998283,0.948133]
average_cost
0
f_measure
0.833160222141324 [0.995,0.764103,0.949749,0.895141,0.787879,0.925,0.596059,0.876457,0.97733,0.564885]
kappa
0.8150000000000001
kb_relative_information_score
0.8225771480482629
mean_absolute_error
0.05082506666912695
mean_prior_absolute_error
0.18000000000000554
weighted_recall
0.8335 [0.995,0.745,0.945,0.875,0.78,0.925,0.605,0.94,0.97,0.555]
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8339145161449802 [0.995,0.784211,0.954545,0.91623,0.795918,0.925,0.587379,0.820961,0.984772,0.57513]
predictive_accuracy
0.8334999999999999
prior_entropy
3.3219280948872383
relative_absolute_error
0.28236148149514106
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.15139251787388908
root_relative_squared_error
0.5046417262462892
total_cost
0
unweighted_recall
0.8334999999999999 [0.995,0.745,0.945,0.875,0.78,0.925,0.605,0.94,0.97,0.555]
area_under_roc_curve
0.9832222222222222 [1,0.979722,0.999444,0.996667,0.968889,1,0.9425,0.992222,1,0.952778]
area_under_roc_curve
0.980777777777778 [1,0.963333,0.999444,0.992222,0.947778,0.990833,0.961111,0.991111,0.998889,0.963056]
area_under_roc_curve
0.9761388888888889 [1,0.970278,1,0.966667,0.984722,0.9925,0.905833,0.989444,1,0.951944]
area_under_roc_curve
0.9907222222222223 [1,0.977222,0.996944,1,0.991111,0.997778,0.983889,0.995,0.996389,0.968889]
area_under_roc_curve
0.9794444444444445 [1,0.953889,0.998056,0.981944,0.976944,0.995833,0.960833,0.9925,1,0.934444]
area_under_roc_curve
0.9838055555555555 [1,0.97,0.999444,0.9925,0.969444,0.997778,0.9675,0.993056,1,0.948333]
area_under_roc_curve
0.9841111111111112 [1,0.978056,0.991944,0.998056,0.976111,0.993889,0.961944,0.991667,1,0.949444]
area_under_roc_curve
0.9835277777777779 [1,0.952778,0.996111,0.996944,0.973611,0.996111,0.958056,0.995278,0.998333,0.968056]
area_under_roc_curve
0.9794444444444443 [1,0.951667,1,0.997778,0.990278,0.984722,0.949444,0.995833,1,0.924722]
area_under_roc_curve
0.9767777777777777 [1,0.982222,0.988611,0.996667,0.947778,0.999722,0.944722,0.991111,0.986944,0.93]
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
0.8338193167518182 [0.974359,0.790698,0.95,0.888889,0.837209,1,0.571429,0.85,0.97561,0.5]
f_measure
0.8091854473005022 [1,0.789474,0.95,0.85,0.702703,0.857143,0.526316,0.837209,0.974359,0.604651]
f_measure
0.8119914232109353 [1,0.769231,0.974359,0.8,0.8,0.878049,0.536585,0.871795,0.97561,0.514286]
f_measure
0.8803621511973914 [1,0.736842,0.974359,1,0.869565,0.947368,0.736842,0.85,0.974359,0.714286]
f_measure
0.8025295165421861 [0.97561,0.648649,0.947368,0.829268,0.684211,0.9,0.65,0.826087,1,0.564103]
f_measure
0.8420352269311876 [1,0.842105,0.952381,0.864865,0.810811,0.909091,0.622222,0.930233,0.974359,0.514286]
f_measure
0.834103076541744 [1,0.736842,0.918919,0.9,0.820513,0.95,0.604651,0.869565,1,0.540541]
f_measure
0.8537987840285062 [1,0.780488,0.95,0.95,0.777778,0.923077,0.681818,0.930233,0.95,0.594595]
f_measure
0.8367614102273921 [1,0.722222,0.97561,0.97561,0.8,0.947368,0.486486,0.888889,1,0.571429]
f_measure
0.8186813584573943 [1,0.809524,0.904762,0.888889,0.742857,0.947368,0.526316,0.909091,0.947368,0.510638]
kappa
0.8166666666666667
kappa
0.788888888888889
kappa
0.7944444444444444
kappa
0.8666666666666667
kappa
0.7833333333333334
kappa
0.8277777777777777
kappa
0.8166666666666667
kappa
0.8388888888888889
kappa
0.8222222222222222
kappa
0.7944444444444444
kb_relative_information_score
0.8281283717906315
kb_relative_information_score
0.8139284887121364
kb_relative_information_score
0.806161616950315
kb_relative_information_score
0.8452303359197572
kb_relative_information_score
0.8038043411331818
kb_relative_information_score
0.8277007707590667
kb_relative_information_score
0.8254048445010366
kb_relative_information_score
0.8344020488708153
kb_relative_information_score
0.8363616174138784
kb_relative_information_score
0.8046490444315146
mean_absolute_error
0.04998146915868726
mean_absolute_error
0.052914049339058626
mean_absolute_error
0.053956238958990606
mean_absolute_error
0.04724545617217703
mean_absolute_error
0.05292740999203642
mean_absolute_error
0.049540998716109
mean_absolute_error
0.050225789367874585
mean_absolute_error
0.04924511750054692
mean_absolute_error
0.04841003367259839
mean_absolute_error
0.05380410381319042
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
0.838207462827028 [1,0.73913,0.95,1,0.782609,1,0.545455,0.85,0.952381,0.5625]
precision
0.8119602676380171 [1,0.833333,0.95,0.85,0.764706,0.818182,0.555556,0.782609,1,0.565217]
precision
0.8137543859649122 [1,0.789474,1,0.8,0.72,0.857143,0.52381,0.894737,0.952381,0.6]
precision
0.8856604506604506 [1,0.777778,1,1,0.769231,1,0.777778,0.85,1,0.681818]
precision
0.8049725936258444 [0.952381,0.705882,1,0.809524,0.722222,0.9,0.65,0.730769,1,0.578947]
precision
0.8484407760469143 [1,0.888889,0.909091,0.941176,0.882353,0.833333,0.56,0.869565,1,0.6]
precision
0.8392566495588437 [1,0.777778,1,0.9,0.842105,0.95,0.565217,0.769231,1,0.588235]
precision
0.857589722387811 [1,0.761905,0.95,0.95,0.875,0.947368,0.625,0.869565,0.95,0.647059]
precision
0.8392128214922333 [1,0.8125,0.952381,0.952381,0.8,1,0.529412,0.8,1,0.545455]
precision
0.8336363636363636 [1,0.772727,0.863636,1,0.866667,1,0.555556,0.833333,1,0.444444]
predictive_accuracy
0.835
predictive_accuracy
0.81
predictive_accuracy
0.815
predictive_accuracy
0.88
predictive_accuracy
0.805
predictive_accuracy
0.845
predictive_accuracy
0.835
predictive_accuracy
0.855
predictive_accuracy
0.84
predictive_accuracy
0.815
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
relative_absolute_error
0.277674828659374
relative_absolute_error
0.29396694077254826
relative_absolute_error
0.2997568831055037
relative_absolute_error
0.2624747565120949
relative_absolute_error
0.29404116662242485
relative_absolute_error
0.27522777064505033
relative_absolute_error
0.2790321631548591
relative_absolute_error
0.27358398611414986
relative_absolute_error
0.2689446315144358
relative_absolute_error
0.2989116878510582
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
0.14753412392303186
root_mean_squared_error
0.15726099095117427
root_mean_squared_error
0.15736911739817666
root_mean_squared_error
0.138312642567878
root_mean_squared_error
0.16302280086716042
root_mean_squared_error
0.14773882223860224
root_mean_squared_error
0.151194969664758
root_mean_squared_error
0.1460370910803434
root_mean_squared_error
0.14409016141186465
root_mean_squared_error
0.15953765336944659
root_relative_squared_error
0.49178041307677317
root_relative_squared_error
0.5242033031705812
root_relative_squared_error
0.5245637246605892
root_relative_squared_error
0.46104214189292697
root_relative_squared_error
0.5434093362238684
root_relative_squared_error
0.492462740795341
root_relative_squared_error
0.5039832322158603
root_relative_squared_error
0.48679030360114495
root_relative_squared_error
0.48030053803954914
root_relative_squared_error
0.5317921778981556
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
unweighted_recall
0.835 [0.95,0.85,0.95,0.8,0.9,1,0.6,0.85,1,0.45]
unweighted_recall
0.8100000000000002 [1,0.75,0.95,0.85,0.65,0.9,0.5,0.9,0.95,0.65]
unweighted_recall
0.8150000000000001 [1,0.75,0.95,0.8,0.9,0.9,0.55,0.85,1,0.45]
unweighted_recall
0.8800000000000001 [1,0.7,0.95,1,1,0.9,0.7,0.85,0.95,0.75]
unweighted_recall
0.805 [1,0.6,0.9,0.85,0.65,0.9,0.65,0.95,1,0.55]
unweighted_recall
0.845 [1,0.8,1,0.8,0.75,1,0.7,1,0.95,0.45]
unweighted_recall
0.8350000000000002 [1,0.7,0.85,0.9,0.8,0.95,0.65,1,1,0.5]
unweighted_recall
0.8550000000000001 [1,0.8,0.95,0.95,0.7,0.9,0.75,1,0.95,0.55]
unweighted_recall
0.8400000000000001 [1,0.65,1,1,0.8,0.9,0.45,1,1,0.6]
unweighted_recall
0.8150000000000001 [1,0.85,0.95,0.8,0.65,0.9,0.5,1,0.9,0.6]
usercpu_time_millis
2625
usercpu_time_millis
2500
usercpu_time_millis
2250
usercpu_time_millis
2750
usercpu_time_millis
2250
usercpu_time_millis
2625
usercpu_time_millis
2750
usercpu_time_millis
2625
usercpu_time_millis
2500
usercpu_time_millis
2375
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
2625
usercpu_time_millis_training
2500
usercpu_time_millis_training
2250
usercpu_time_millis_training
2750
usercpu_time_millis_training
2250
usercpu_time_millis_training
2625
usercpu_time_millis_training
2750
usercpu_time_millis_training
2625
usercpu_time_millis_training
2500
usercpu_time_millis_training
2375
wall_clock_time_millis
333.0652713775635
wall_clock_time_millis
312.0710849761963
wall_clock_time_millis
287.0655059814453
wall_clock_time_millis
341.0773277282715
wall_clock_time_millis
284.06453132629395
wall_clock_time_millis
325.0734806060791
wall_clock_time_millis
349.0791320800781
wall_clock_time_millis
332.0760726928711
wall_clock_time_millis
316.0719871520996
wall_clock_time_millis
298.067569732666
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
1.0001659393310547
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
0.9999275207519531
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
0
wall_clock_time_millis_training
333.0652713775635
wall_clock_time_millis_training
312.0710849761963
wall_clock_time_millis_training
287.0655059814453
wall_clock_time_millis_training
341.0773277282715
wall_clock_time_millis_training
283.0643653869629
wall_clock_time_millis_training
325.0734806060791
wall_clock_time_millis_training
348.0792045593262
wall_clock_time_millis_training
332.0760726928711
wall_clock_time_millis_training
316.0719871520996
wall_clock_time_millis_training
298.067569732666
weighted_recall
0.835 [0.95,0.85,0.95,0.8,0.9,1,0.6,0.85,1,0.45]
weighted_recall
0.81 [1,0.75,0.95,0.85,0.65,0.9,0.5,0.9,0.95,0.65]
weighted_recall
0.815 [1,0.75,0.95,0.8,0.9,0.9,0.55,0.85,1,0.45]
weighted_recall
0.88 [1,0.7,0.95,1,1,0.9,0.7,0.85,0.95,0.75]
weighted_recall
0.805 [1,0.6,0.9,0.85,0.65,0.9,0.65,0.95,1,0.55]
weighted_recall
0.845 [1,0.8,1,0.8,0.75,1,0.7,1,0.95,0.45]
weighted_recall
0.835 [1,0.7,0.85,0.9,0.8,0.95,0.65,1,1,0.5]
weighted_recall
0.855 [1,0.8,0.95,0.95,0.7,0.9,0.75,1,0.95,0.55]
weighted_recall
0.84 [1,0.65,1,1,0.8,0.9,0.45,1,1,0.6]
weighted_recall
0.815 [1,0.85,0.95,0.8,0.65,0.9,0.5,1,0.9,0.6]