10416390
10093
Eric Klingensmith
3560
Supervised Classification
17299
sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,gaussiannb=sklearn.naive_bayes.GaussianNB)(2)
8254064
copy
true
17289
with_mean
true
17289
with_std
true
17289
memory
null
17299
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gaussiannb", "step_name": "gaussiannb"}}]
17299
verbose
false
17299
priors
null
17300
var_smoothing
1e-09
17300
openml-python
Sklearn_0.21.3.
469
analcatdata_dmft
https://www.openml.org/data/download/52581/analcatdata_dmft.arff
-1
21754658
description
https://api.openml.org/data/download/21754658/description.xml
-1
21754659
predictions
https://api.openml.org/data/download/21754659/predictions.arff
area_under_roc_curve
0.5826637186393041 [0.588835,0.557883,0.618331,0.518611,0.602518,0.625691]
average_cost
0
f_measure
0.19049779952751542 [0.23053,0.067568,0.086957,0.206897,0.280488,0.265306]
kappa
0.05135924791940265
kb_relative_information_score
0.07835193284504453
mean_absolute_error
0.2721923358375475
mean_prior_absolute_error
0.2774075468769606
number_of_instances
797 [127,132,124,155,136,123]
precision
0.2181053602514354 [0.190722,0.3125,0.133333,0.20122,0.239583,0.22807]
predictive_accuracy
0.2107904642409034
prior_entropy
2.5802594571056106
recall
0.2107904642409034 [0.291339,0.037879,0.064516,0.212903,0.338235,0.317073]
relative_absolute_error
0.9812001832750199
root_mean_prior_squared_error
0.37242769802946113
root_mean_squared_error
0.3709409116740501
root_relative_squared_error
0.9960078523609341
total_cost
0
area_under_roc_curve
0.5804741203532803 [0.574053,0.551665,0.623775,0.496582,0.548701,0.724265]
area_under_roc_curve
0.5830421780843443 [0.604478,0.605052,0.636642,0.528809,0.613636,0.518995]
area_under_roc_curve
0.6046386471926797 [0.69977,0.529277,0.479167,0.671387,0.58171,0.646446]
area_under_roc_curve
0.5686053486120534 [0.548794,0.633754,0.70098,0.35498,0.611472,0.621936]
area_under_roc_curve
0.5739616563530942 [0.664753,0.575201,0.601716,0.447754,0.627706,0.552083]
area_under_roc_curve
0.5865669301067677 [0.637773,0.555195,0.555109,0.604103,0.668197,0.491422]
area_under_roc_curve
0.5966954390173772 [0.576923,0.554113,0.677382,0.494872,0.610218,0.693015]
area_under_roc_curve
0.5314359767617608 [0.432214,0.445804,0.497669,0.503125,0.667832,0.638695]
area_under_roc_curve
0.6296242374863312 [0.544154,0.527972,0.735431,0.613021,0.55711,0.796037]
area_under_roc_curve
0.6317161708772682 [0.664179,0.62704,0.747512,0.534896,0.547253,0.702214]
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
0.17784385436515254 [0.181818,0,0.117647,0.222222,0.206897,0.333333]
f_measure
0.25483031211666896 [0.413793,0,0.086957,0.272727,0.4,0.333333]
f_measure
0.13548272357723576 [0.125,0.266667,0,0.195122,0.1875,0]
f_measure
0.20159882090588616 [0.216216,0.133333,0.125,0.166667,0.242424,0.347826]
f_measure
0.1801215735925929 [0.181818,0,0.105263,0.148148,0.342857,0.307692]
f_measure
0.19439314966492927 [0.176471,0.117647,0.1,0.2,0.25,0.32]
f_measure
0.2437017338581002 [0.352941,0.142857,0,0.333333,0.285714,0.32]
kappa
0.035418236623963845
kappa
0.035418236623963845
kappa
0.15036333147009498
kappa
-0.04486087450312321
kappa
-0.025061239871867345
kappa
0.09175507165456913
kappa
0.054054054054054036
kappa
0.04490500863557857
kappa
0.04398770649250863
kappa
0.1298550724637681
kb_relative_information_score
0.07829414887900028
kb_relative_information_score
0.079646531305091
kb_relative_information_score
0.07642752428676296
kb_relative_information_score
0.06359943312296518
kb_relative_information_score
0.07230905640408651
kb_relative_information_score
0.08777801919596426
kb_relative_information_score
0.08018918520519952
kb_relative_information_score
0.06813413106528034
kb_relative_information_score
0.08262290614783348
kb_relative_information_score
0.09461840310527249
mean_absolute_error
0.27266512703751344
mean_absolute_error
0.2714687542956047
mean_absolute_error
0.2717454091968853
mean_absolute_error
0.27379619805417166
mean_absolute_error
0.27325793080500366
mean_absolute_error
0.27140247060912187
mean_absolute_error
0.2718292599475721
mean_absolute_error
0.2756564526089658
mean_absolute_error
0.27118774585783806
mean_absolute_error
0.2689036454174449
mean_prior_absolute_error
0.27731942714819413
mean_prior_absolute_error
0.27731942714819413
mean_prior_absolute_error
0.27731942714819413
mean_prior_absolute_error
0.27731942714819413
mean_prior_absolute_error
0.27731942714819413
mean_prior_absolute_error
0.27750103777501023
mean_prior_absolute_error
0.27750103777501023
mean_prior_absolute_error
0.27751417416754665
mean_prior_absolute_error
0.27751417416754665
mean_prior_absolute_error
0.27745111948337176
number_of_instances
80 [13,13,12,16,14,12]
number_of_instances
80 [13,13,12,16,14,12]
number_of_instances
80 [13,13,12,16,14,12]
number_of_instances
80 [13,13,12,16,14,12]
number_of_instances
80 [13,13,12,16,14,12]
number_of_instances
80 [13,14,13,15,13,12]
number_of_instances
80 [13,14,13,15,13,12]
number_of_instances
79 [12,13,13,15,13,13]
number_of_instances
79 [12,13,13,15,13,13]
number_of_instances
79 [12,13,12,15,14,13]
precision
0.1710416666666667 [0.15,0,0.2,0.2,0.2,0.277778]
precision
0.27519886363636364 [0.375,0,0.090909,0.5,0.375,0.233333]
precision
0.24077192982456136 [0.105263,1,0,0.16,0.166667,0]
precision
0.3700811688311688 [0.166667,1,0.333333,0.142857,0.2,0.363636]
precision
0.17628363197983452 [0.142857,0,0.166667,0.166667,0.272727,0.307692]
precision
0.21283141686206308 [0.136364,0.25,0.142857,0.2,0.210526,0.333333]
precision
0.357279850950737 [0.272727,1,0,0.285714,0.238095,0.333333]
predictive_accuracy
0.2
predictive_accuracy
0.2
predictive_accuracy
0.2875
predictive_accuracy
0.1375
predictive_accuracy
0.15
predictive_accuracy
0.2375
predictive_accuracy
0.2125
predictive_accuracy
0.20253164556962028
predictive_accuracy
0.20253164556962028
predictive_accuracy
0.27848101265822783
prior_entropy
2.5780396342004863
prior_entropy
2.5780396342004863
prior_entropy
2.5780396342004863
prior_entropy
2.5780396342004863
prior_entropy
2.5780396342004863
prior_entropy
2.58256922897123
prior_entropy
2.58256922897123
prior_entropy
2.583004661586018
prior_entropy
2.583004661586018
prior_entropy
2.5813306388227466
recall
0.2 [0.230769,0,0.083333,0.25,0.214286,0.416667]
recall
0.2 [0.230769,0,0.083333,0.1875,0.428571,0.25]
recall
0.2875 [0.461538,0,0.083333,0.1875,0.428571,0.583333]
recall
0.1375 [0.153846,0.153846,0,0.25,0.214286,0]
recall
0.15 [0.076923,0,0,0.25,0.214286,0.333333]
recall
0.2375 [0.461538,0,0.153846,0.066667,0.461538,0.333333]
recall
0.2125 [0.307692,0.071429,0.076923,0.2,0.307692,0.333333]
recall
0.20253164556962025 [0.25,0,0.076923,0.133333,0.461538,0.307692]
recall
0.20253164556962025 [0.25,0.076923,0.076923,0.2,0.307692,0.307692]
recall
0.27848101265822783 [0.5,0.076923,0,0.4,0.357143,0.307692]
relative_absolute_error
0.983216826319948
relative_absolute_error
0.9789027659808954
relative_absolute_error
0.9799003697338153
relative_absolute_error
0.9872954119000839
relative_absolute_error
0.985354447090286
relative_absolute_error
0.9780232635712416
relative_absolute_error
0.9795612374176538
relative_absolute_error
0.9933058498213526
relative_absolute_error
0.9772032245607424
relative_absolute_error
0.9691928651005529
root_mean_prior_squared_error
0.37230937475539966
root_mean_prior_squared_error
0.37230937475539966
root_mean_prior_squared_error
0.37230937475539966
root_mean_prior_squared_error
0.37230937475539966
root_mean_prior_squared_error
0.37230937475539966
root_mean_prior_squared_error
0.37255319238676876
root_mean_prior_squared_error
0.37255319238676876
root_mean_prior_squared_error
0.3725708221937262
root_mean_prior_squared_error
0.3725708221937262
root_mean_prior_squared_error
0.372486191510416
root_mean_squared_error
0.37132409437719716
root_mean_squared_error
0.36994809691710473
root_mean_squared_error
0.36971069125118855
root_mean_squared_error
0.37284766896992155
root_mean_squared_error
0.37170666933494695
root_mean_squared_error
0.3712481164318832
root_mean_squared_error
0.3707734799644391
root_mean_squared_error
0.37685651694962924
root_mean_squared_error
0.36873467100419366
root_mean_squared_error
0.3661526247898736
root_relative_squared_error
0.9973535977200417
root_relative_squared_error
0.9936577534749259
root_relative_squared_error
0.9930200965100101
root_relative_squared_error
1.001445825034289
root_relative_squared_error
0.9983811704423272
root_relative_squared_error
0.9964969406206815
root_relative_squared_error
0.9952229306882922
root_relative_squared_error
1.0115030337874245
root_relative_squared_error
0.9897035651719988
root_relative_squared_error
0.982996506005068
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
3.601494999998067
usercpu_time_millis
3.7022169999971766
usercpu_time_millis
3.7406849999968017
usercpu_time_millis
3.551688000001718
usercpu_time_millis
3.5001990000154137
usercpu_time_millis
3.5254660000134663
usercpu_time_millis
3.500657000003571
usercpu_time_millis
3.576091000013548
usercpu_time_millis
3.36830000000532
usercpu_time_millis
3.518693999993161
usercpu_time_millis_testing
0.7294269999960079
usercpu_time_millis_testing
0.7272989999904667
usercpu_time_millis_testing
0.8317869999956429
usercpu_time_millis_testing
0.7228399999945623
usercpu_time_millis_testing
0.6913230000122894
usercpu_time_millis_testing
0.7050130000010313
usercpu_time_millis_testing
0.7587940000064464
usercpu_time_millis_testing
0.7034050000100933
usercpu_time_millis_testing
0.6875380000082032
usercpu_time_millis_testing
0.6992059999930689
usercpu_time_millis_training
2.8720680000020593
usercpu_time_millis_training
2.97491800000671
usercpu_time_millis_training
2.908898000001159
usercpu_time_millis_training
2.828848000007156
usercpu_time_millis_training
2.8088760000031243
usercpu_time_millis_training
2.820453000012435
usercpu_time_millis_training
2.7418629999971245
usercpu_time_millis_training
2.872686000003455
usercpu_time_millis_training
2.6807619999971166
usercpu_time_millis_training
2.819488000000092
wall_clock_time_millis
3.6041736602783203
wall_clock_time_millis
3.7055015563964844
wall_clock_time_millis
3.7338733673095703
wall_clock_time_millis
3.5538673400878906
wall_clock_time_millis
3.5037994384765625
wall_clock_time_millis
3.6025047302246094
wall_clock_time_millis
3.504037857055664
wall_clock_time_millis
3.6437511444091797
wall_clock_time_millis
3.3714771270751953
wall_clock_time_millis
3.5903453826904297
wall_clock_time_millis_testing
0.7314682006835938
wall_clock_time_millis_testing
0.7293224334716797
wall_clock_time_millis_testing
0.7567405700683594
wall_clock_time_millis_testing
0.72479248046875
wall_clock_time_millis_testing
0.6933212280273438
wall_clock_time_millis_testing
0.7073879241943359
wall_clock_time_millis_testing
0.7610321044921875
wall_clock_time_millis_testing
0.7050037384033203
wall_clock_time_millis_testing
0.6895065307617188
wall_clock_time_millis_testing
0.7011890411376953
wall_clock_time_millis_training
2.8727054595947266
wall_clock_time_millis_training
2.9761791229248047
wall_clock_time_millis_training
2.977132797241211
wall_clock_time_millis_training
2.8290748596191406
wall_clock_time_millis_training
2.8104782104492188
wall_clock_time_millis_training
2.8951168060302734
wall_clock_time_millis_training
2.7430057525634766
wall_clock_time_millis_training
2.9387474060058594
wall_clock_time_millis_training
2.6819705963134766
wall_clock_time_millis_training
2.8891563415527344