10154750
287
Hugo Spee
218
Supervised Classification
predictive_accuracy
8935
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=scripts.machineLearningAlgorithms.WithoutOutliersClassifier(classifier=sklearn.naive_bayes.MultinomialNB,outlierCLF=sklearn.ensemble.iforest.IsolationForest))(1)
8080328
alpha
1.0
8869
class_prior
null
8869
fit_prior
true
8869
copy
true
8877
fill_value
null
8877
missing_values
NaN
8877
strategy
"mean"
8877
verbose
0
8877
behaviour
"new"
8934
bootstrap
false
8934
contamination
"auto"
8934
max_features
1.0
8934
max_samples
"auto"
8934
n_estimators
100
8934
n_jobs
null
8934
random_state
43790
8934
verbose
0
8934
memory
null
8935
auto-jupyter-notebook
openml-python
Sklearn_0.20.1.
150
covertype
https://www.openml.org/data/download/2418/covtype-normalized.arff
-1
21230078
description
https://api.openml.org/data/download/21230078/description.xml
-1
21230079
predictions
https://api.openml.org/data/download/21230079/predictions.arff
area_under_roc_curve
0.6922921910902576 [0.664585,0.694828,0.940455,0.557377,0.500021,0.514992,0.768021]
average_cost
0
f_measure
0.6169250981772765 [0.546995,0.718992,0.696353,0.195969,0.000417,0.058283,0.60568]
kappa
0.40551309067620933
kb_relative_information_score
256433.71057674932
mean_absolute_error
0.10226491510914398
mean_prior_absolute_error
0.17802774347935615
number_of_instances
581012 [211840,283301,35754,2747,9493,17367,20510]
precision
0.631600654898105 [0.660754,0.647621,0.556736,0.661088,0.020408,0.439935,0.680952]
predictive_accuracy
0.6420727971195087
prior_entropy
1.7387099106676458
recall
0.6420727971195087 [0.466654,0.808042,0.929434,0.115035,0.000211,0.031209,0.545392]
relative_absolute_error
0.5744324626627786
root_mean_prior_squared_error
0.2983512509121354
root_mean_squared_error
0.319788860201765
root_relative_squared_error
1.0718535927839732
total_cost
0
area_under_roc_curve
0.691364782697223 [0.663529,0.69406,0.940286,0.554632,0.499948,0.514365,0.764591]
area_under_roc_curve
0.6919390188112436 [0.664867,0.69411,0.939156,0.554572,0.5,0.51452,0.768048]
area_under_roc_curve
0.6929224107424753 [0.664275,0.695808,0.941966,0.565333,0.500334,0.513483,0.77284]
area_under_roc_curve
0.692667372072027 [0.664831,0.695759,0.941737,0.563446,0.499974,0.516,0.759242]
area_under_roc_curve
0.6921347028829523 [0.66458,0.694064,0.940134,0.548979,0.499939,0.516146,0.774776]
area_under_roc_curve
0.6914383651300148 [0.663114,0.693144,0.942564,0.556191,0.500369,0.513422,0.780008]
area_under_roc_curve
0.6918509525637004 [0.66396,0.694953,0.941338,0.556199,0.499781,0.511389,0.762099]
area_under_roc_curve
0.6915804079787633 [0.66309,0.694126,0.942168,0.55258,0.499939,0.517288,0.768815]
area_under_roc_curve
0.6926870655603863 [0.666025,0.695594,0.935541,0.552667,0.499956,0.513935,0.763936]
area_under_roc_curve
0.694336844999442 [0.667581,0.696663,0.939664,0.569196,0.499974,0.519374,0.765854]
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
0.6156971897643091 [0.545891,0.718012,0.696665,0.189274,0,0.056004,0.598429]
f_measure
0.6174841070897155 [0.546336,0.719874,0.697334,0.221538,0.002058,0.052802,0.614637]
f_measure
0.6176165561903516 [0.547386,0.720178,0.699423,0.210843,0,0.061957,0.594342]
f_measure
0.6165323985510904 [0.547079,0.717916,0.693511,0.171429,0,0.062466,0.613205]
f_measure
0.6162448994374258 [0.544482,0.717664,0.701146,0.190184,0.002066,0.052603,0.627251]
f_measure
0.6159082362645931 [0.545998,0.71916,0.698206,0.190769,0,0.04521,0.593657]
f_measure
0.6161545950521107 [0.544497,0.718563,0.698952,0.180685,0,0.066595,0.606323]
f_measure
0.6179523607969691 [0.549721,0.71978,0.695026,0.186495,0,0.054487,0.602792]
f_measure
0.619704049275186 [0.551684,0.720443,0.694651,0.231003,0,0.074154,0.601137]
kappa
0.4035097173705301
kappa
0.4044017033280672
kappa
0.4067728030671195
kappa
0.4063874285292571
kappa
0.4051620220820343
kappa
0.40460142338305594
kappa
0.4042626895849104
kappa
0.40440467242711303
kappa
0.40620724906844413
kappa
0.40942277847241015
kb_relative_information_score
25527.731311069037
kb_relative_information_score
25563.447135574264
kb_relative_information_score
25736.76841610484
kb_relative_information_score
25670.68792562769
kb_relative_information_score
25644.841127752577
kb_relative_information_score
25688.66158248674
kb_relative_information_score
25535.072518776742
kb_relative_information_score
25622.98309428968
kb_relative_information_score
25616.791789773637
kb_relative_information_score
25826.72567471719
mean_absolute_error
0.1026126467247586
mean_absolute_error
0.10255855466006442
mean_absolute_error
0.10208823551110056
mean_absolute_error
0.10199971969996369
mean_absolute_error
0.10242754612045862
mean_absolute_error
0.10241771103033231
mean_absolute_error
0.10247672157109024
mean_absolute_error
0.10243738121058495
mean_absolute_error
0.10200955479009001
mean_absolute_error
0.10162106873010035
mean_prior_absolute_error
0.17802710522729806
mean_prior_absolute_error
0.17802920034394012
mean_prior_absolute_error
0.17802755102463602
mean_prior_absolute_error
0.17802755102463602
mean_prior_absolute_error
0.17802755102463602
mean_prior_absolute_error
0.17802770664588263
mean_prior_absolute_error
0.17802770664588263
mean_prior_absolute_error
0.17802770664588263
mean_prior_absolute_error
0.17802770664588263
mean_prior_absolute_error
0.17802764955005787
number_of_instances
58102 [21184,28331,3575,274,950,1737,2051]
number_of_instances
58102 [21184,28330,3576,274,950,1737,2051]
number_of_instances
58101 [21184,28330,3576,275,949,1736,2051]
number_of_instances
58101 [21184,28330,3576,275,949,1736,2051]
number_of_instances
58101 [21184,28330,3576,275,949,1736,2051]
number_of_instances
58101 [21184,28330,3575,275,949,1737,2051]
number_of_instances
58101 [21184,28330,3575,275,949,1737,2051]
number_of_instances
58101 [21184,28330,3575,275,949,1737,2051]
number_of_instances
58101 [21184,28330,3575,275,949,1737,2051]
number_of_instances
58101 [21184,28330,3575,274,950,1737,2051]
precision
0.6294826591414979 [0.657035,0.647316,0.557308,0.697674,0,0.433333,0.67296]
precision
0.6320804514412822 [0.66097,0.648437,0.556854,0.72,0.043478,0.408333,0.688862]
precision
0.6347727273404238 [0.661098,0.648002,0.559926,0.614035,0,0.548077,0.680503]
precision
0.6319787054483412 [0.660391,0.647416,0.553078,0.675,0,0.479339,0.678698]
precision
0.6299848961346092 [0.65935,0.646007,0.561637,0.607843,0.052632,0.388889,0.698802]
precision
0.6276788681691439 [0.659888,0.647663,0.558577,0.62,0,0.347107,0.668498]
precision
0.6319065643405207 [0.659109,0.646808,0.558927,0.630435,0,0.496,0.68]
precision
0.6308142913322211 [0.661029,0.648148,0.558979,0.805556,0,0.377778,0.687266]
precision
0.6370920363252698 [0.665223,0.649382,0.555035,0.690909,0,0.556452,0.676005]
predictive_accuracy
0.6408557364634607
predictive_accuracy
0.6410450586898903
predictive_accuracy
0.6426911757112614
predictive_accuracy
0.6430009810502401
predictive_accuracy
0.6415035885785099
predictive_accuracy
0.6415380113939518
predictive_accuracy
0.6413314745012993
predictive_accuracy
0.6414691657630678
predictive_accuracy
0.642966558234798
predictive_accuracy
0.64432625944476
prior_entropy
1.7387099106676458
prior_entropy
1.7387099106676458
prior_entropy
1.7387099106676458
prior_entropy
1.7387099106676458
prior_entropy
1.7387099106676458
prior_entropy
1.7387099106676458
prior_entropy
1.7387099106676458
prior_entropy
1.7387099106676458
prior_entropy
1.7387099106676458
prior_entropy
1.7387099106676458
recall
0.6408557364634608 [0.466909,0.806043,0.928951,0.109489,0,0.029937,0.538762]
recall
0.6410450586898901 [0.465115,0.807271,0.928691,0.109489,0,0.030512,0.545588]
recall
0.6426911757112614 [0.465587,0.809001,0.932606,0.130909,0.001054,0.028226,0.554851]
recall
0.6430009810502401 [0.467051,0.810448,0.931488,0.127273,0,0.032834,0.527548]
recall
0.6415035885785099 [0.466956,0.805648,0.92953,0.098182,0,0.03341,0.559239]
recall
0.641538011393952 [0.463699,0.807201,0.932867,0.112727,0.001054,0.02821,0.568991]
recall
0.6413314745012995 [0.465634,0.808401,0.930909,0.112727,0,0.02418,0.533886]
recall
0.6414691657630678 [0.463841,0.808224,0.932587,0.105455,0,0.035694,0.54705]
recall
0.642966558234798 [0.470497,0.809213,0.918601,0.105455,0,0.029361,0.536811]
recall
0.64432625944476 [0.471252,0.808966,0.928112,0.138686,0,0.039724,0.541199]
relative_absolute_error
0.5763877730514507
relative_absolute_error
0.5760771517365036
relative_absolute_error
0.5734406552442732
relative_absolute_error
0.5729434523640031
relative_absolute_error
0.575346599618642
relative_absolute_error
0.5752908519686365
relative_absolute_error
0.5756223202657331
relative_absolute_error
0.5754013414010021
relative_absolute_error
0.5729981962470518
relative_absolute_error
0.5708162130260923
root_mean_prior_squared_error
0.29835018127719537
root_mean_prior_squared_error
0.2983536924269204
root_mean_prior_squared_error
0.29835092838044475
root_mean_prior_squared_error
0.29835092838044475
root_mean_prior_squared_error
0.29835092838044475
root_mean_prior_squared_error
0.29835118918268094
root_mean_prior_squared_error
0.29835118918268094
root_mean_prior_squared_error
0.29835118918268094
root_mean_prior_squared_error
0.29835118918268094
root_mean_prior_squared_error
0.2983510934970662
root_mean_squared_error
0.32033208819092507
root_mean_squared_error
0.3202476458306359
root_mean_squared_error
0.31951249664308995
root_mean_squared_error
0.3193739496263959
root_mean_squared_error
0.3200430379190565
root_mean_squared_error
0.3200276722884012
root_mean_squared_error
0.32011985500916723
root_mean_squared_error
0.32005840281202574
root_mean_squared_error
0.3193893467072595
root_mean_squared_error
0.3187805965395327
root_relative_squared_error
1.0736782086728696
root_relative_squared_error
1.0733825454802384
root_relative_squared_error
1.0709284478433425
root_relative_squared_error
1.0704640718233112
root_relative_squared_error
1.0727066936119967
root_relative_squared_error
1.072654254085938
root_relative_squared_error
1.072963227953341
root_relative_squared_error
1.0727572552628688
root_relative_squared_error
1.0705147433204862
root_relative_squared_error
1.0684747047614471
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