10587914
31646
Hector Haffenden
3954
Supervised Classification
18994
sklearn.ensemble._forest.RandomForestClassifier(10)
8304024
Python_3.8.13. Sklearn_0.23.2. NumPy_1.20.0. SciPy_1.8.1.
bootstrap
true
18994
ccp_alpha
0.0
18994
class_weight
null
18994
criterion
"gini"
18994
max_depth
null
18994
max_features
"auto"
18994
max_leaf_nodes
null
18994
max_samples
null
18994
min_impurity_decrease
0.0
18994
min_impurity_split
null
18994
min_samples_leaf
1
18994
min_samples_split
2
18994
min_weight_fraction_leaf
0.0
18994
n_estimators
100
18994
n_jobs
null
18994
oob_score
false
18994
random_state
3349
18994
verbose
0
18994
warm_start
false
18994
openml-python
Sklearn_0.23.2.
1120
MagicTelescope
https://www.openml.org/data/download/54003/MagicTelescope.arff
-1
22103364
description
https://api.openml.org/data/download/22103364/description.xml
-1
22103365
predictions
https://api.openml.org/data/download/22103365/predictions.arff
area_under_roc_curve
0.9358133542078259 [0.935813,0.935813]
average_cost
0
f_measure
0.8798507604407318 [0.911788,0.820962]
kappa
0.7333103000839196
kb_relative_information_score
0.5971489589699994
mean_absolute_error
0.1944652996845509
mean_prior_absolute_error
0.45597723417494307
weighted_recall
0.8818086225026288 [0.942102,0.770634]
number_of_instances
19020 [12332,6688]
precision
0.8815913079058451 [0.883364,0.878323]
predictive_accuracy
0.8818086225026288
prior_entropy
0.9355152453166837
relative_absolute_error
0.4264802825878388
root_mean_prior_squared_error
0.47747911240123586
root_mean_squared_error
0.29925651826217214
root_relative_squared_error
0.6267426375097651
total_cost
0
unweighted_recall
0.8563679100701951 [0.942102,0.770634]
area_under_roc_curve
0.9340134560700317 [0.934013,0.934013]
area_under_roc_curve
0.9419279350537175 [0.941928,0.941928]
area_under_roc_curve
0.9364790144470025 [0.936479,0.936479]
area_under_roc_curve
0.9439783143426232 [0.943978,0.943978]
area_under_roc_curve
0.9305490394325459 [0.930549,0.930549]
area_under_roc_curve
0.9404996138818272 [0.9405,0.9405]
area_under_roc_curve
0.9284341786714868 [0.928434,0.928434]
area_under_roc_curve
0.9327342137070134 [0.932734,0.932734]
area_under_roc_curve
0.9427157018561555 [0.942716,0.942716]
area_under_roc_curve
0.9272206644142095 [0.927221,0.927221]
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
0.8748107794046082 [0.908379,0.8128]
f_measure
0.8819722055211632 [0.912114,0.826291]
f_measure
0.8780073111309118 [0.911708,0.815896]
f_measure
0.8926555247516739 [0.919905,0.842434]
f_measure
0.8742765586050937 [0.908949,0.810373]
f_measure
0.8853563814186578 [0.916341,0.82825]
f_measure
0.8730650329356736 [0.907313,0.809944]
f_measure
0.876061064498073 [0.908877,0.81558]
f_measure
0.8886726914282314 [0.917489,0.835563]
f_measure
0.8733609427185024 [0.906949,0.811456]
kappa
0.721823459262426
kappa
0.7386774072964656
kappa
0.7285477707486918
kappa
0.7625688277498656
kappa
0.7202761866333814
kappa
0.7452677508627132
kappa
0.7179895272235881
kappa
0.7250064500689877
kappa
0.7533955430821742
kappa
0.7189810918476126
kb_relative_information_score
0.5919163338018686
kb_relative_information_score
0.6044540801359034
kb_relative_information_score
0.5941218588411602
kb_relative_information_score
0.6072450692344468
kb_relative_information_score
0.5929060865426659
kb_relative_information_score
0.6007251380209067
kb_relative_information_score
0.5834934377346013
kb_relative_information_score
0.5950925160214583
kb_relative_information_score
0.6141715821157386
kb_relative_information_score
0.5873645152280844
mean_absolute_error
0.1962302839116715
mean_absolute_error
0.19048895899053606
mean_absolute_error
0.19538906414300705
mean_absolute_error
0.19131440588853801
mean_absolute_error
0.1959936908517352
mean_absolute_error
0.19425341745531013
mean_absolute_error
0.20009989484752866
mean_absolute_error
0.19495268138801244
mean_absolute_error
0.18749211356466847
mean_absolute_error
0.19843848580441636
mean_prior_absolute_error
0.455852435405734
mean_prior_absolute_error
0.455852435405734
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
number_of_instances
1902 [1234,668]
number_of_instances
1902 [1234,668]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
precision
0.8767032252999277 [0.878788,0.872852]
precision
0.8824858614142413 [0.891641,0.865574]
precision
0.8815302433495652 [0.875934,0.891844]
precision
0.8932363315937104 [0.899922,0.880914]
precision
0.8775926641143906 [0.873598,0.884956]
precision
0.8879585837972631 [0.884528,0.894281]
precision
0.8752780356143469 [0.876133,0.873702]
precision
0.877593254390057 [0.881188,0.870968]
precision
0.8897004807238832 [0.893846,0.88206]
precision
0.8748982502123185 [0.878995,0.867347]
predictive_accuracy
0.8769716088328076
predictive_accuracy
0.8832807570977919
predictive_accuracy
0.880651945320715
predictive_accuracy
0.893796004206099
predictive_accuracy
0.8769716088328076
predictive_accuracy
0.8874868559411146
predictive_accuracy
0.8753943217665615
predictive_accuracy
0.8780231335436384
predictive_accuracy
0.8901156677181913
predictive_accuracy
0.8753943217665615
prior_entropy
0.9351439892378896
prior_entropy
0.9351439892378896
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
relative_absolute_error
0.43046887253550736
relative_absolute_error
0.41787417198065485
relative_absolute_error
0.42847686496936527
relative_absolute_error
0.419541376167297
relative_absolute_error
0.4298027762109636
relative_absolute_error
0.4259864577677571
relative_absolute_error
0.43880744299085317
relative_absolute_error
0.42751990294282144
relative_absolute_error
0.4111593111878087
relative_absolute_error
0.435164069492204
root_mean_prior_squared_error
0.4773484094561718
root_mean_prior_squared_error
0.4773484094561718
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_squared_error
0.30091090240837604
root_mean_squared_error
0.2944474766557496
root_mean_squared_error
0.2996520063692815
root_mean_squared_error
0.2910552251015011
root_mean_squared_error
0.30351446504938917
root_mean_squared_error
0.29542969827795895
root_mean_squared_error
0.30673812201856226
root_mean_squared_error
0.30224032053395355
root_mean_squared_error
0.29097437744254373
root_mean_squared_error
0.30706704193702383
root_relative_squared_error
0.630380025254917
root_relative_squared_error
0.6168397565023931
root_relative_squared_error
0.6275279842741927
root_relative_squared_error
0.6095246981104148
root_relative_squared_error
0.635616703382862
root_relative_squared_error
0.6186856724284079
root_relative_squared_error
0.6423676508714753
root_relative_squared_error
0.6329484037471172
root_relative_squared_error
0.6093553878192088
root_relative_squared_error
0.6430564714000636
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
0.8502557284135133 [0.940032,0.760479]
unweighted_recall
0.8619842972078533 [0.933549,0.790419]
unweighted_recall
0.8511978149469557 [0.950527,0.751868]
unweighted_recall
0.8739848486501625 [0.940795,0.807175]
unweighted_recall
0.8473336024643674 [0.947283,0.747384]
unweighted_recall
0.8609138089678825 [0.950527,0.7713]
unweighted_recall
0.8478264032092058 [0.940795,0.754858]
unweighted_recall
0.8525889314406876 [0.938362,0.766816]
unweighted_recall
0.8680694212591695 [0.942417,0.793722]
unweighted_recall
0.8495357489662094 [0.93674,0.762332]
usercpu_time_millis
3592.3364860000006
usercpu_time_millis
3611.5992309999992
usercpu_time_millis
3575.197248999999
usercpu_time_millis
3569.5758779999946
usercpu_time_millis
3590.532314000008
usercpu_time_millis
3587.03409999999
usercpu_time_millis
3588.0357959999997
usercpu_time_millis
3596.166685
usercpu_time_millis
3590.5351560000013
usercpu_time_millis
3617.5308930000083
usercpu_time_millis_testing
25.196472000004633
usercpu_time_millis_testing
24.968614000002276
usercpu_time_millis_testing
25.104769000002136
usercpu_time_millis_testing
25.5203179999981
usercpu_time_millis_testing
25.68028800000377
usercpu_time_millis_testing
25.55305999999291
usercpu_time_millis_testing
25.980381000010766
usercpu_time_millis_testing
24.48257300000023
usercpu_time_millis_testing
25.82270499999595
usercpu_time_millis_testing
25.62387199999705
usercpu_time_millis_training
3567.140013999996
usercpu_time_millis_training
3586.630616999997
usercpu_time_millis_training
3550.0924799999966
usercpu_time_millis_training
3544.0555599999966
usercpu_time_millis_training
3564.852026000004
usercpu_time_millis_training
3561.481039999997
usercpu_time_millis_training
3562.055414999989
usercpu_time_millis_training
3571.684112
usercpu_time_millis_training
3564.7124510000053
usercpu_time_millis_training
3591.9070210000114
wall_clock_time_millis
3593.0161476135254
wall_clock_time_millis
3612.2968196868896
wall_clock_time_millis
3575.8678913116455
wall_clock_time_millis
3570.258855819702
wall_clock_time_millis
3591.2740230560303
wall_clock_time_millis
3587.7113342285156
wall_clock_time_millis
3588.752508163452
wall_clock_time_millis
3596.867322921753
wall_clock_time_millis
3591.336727142334
wall_clock_time_millis
3618.253469467163
wall_clock_time_millis_testing
25.214195251464844
wall_clock_time_millis_testing
24.98793601989746
wall_clock_time_millis_testing
25.12335777282715
wall_clock_time_millis_testing
25.534629821777344
wall_clock_time_millis_testing
25.69866180419922
wall_clock_time_millis_testing
25.572776794433594
wall_clock_time_millis_testing
25.99954605102539
wall_clock_time_millis_testing
24.49631690979004
wall_clock_time_millis_testing
25.84552764892578
wall_clock_time_millis_testing
25.641441345214844
wall_clock_time_millis_training
3567.8019523620605
wall_clock_time_millis_training
3587.308883666992
wall_clock_time_millis_training
3550.7445335388184
wall_clock_time_millis_training
3544.724225997925
wall_clock_time_millis_training
3565.575361251831
wall_clock_time_millis_training
3562.138557434082
wall_clock_time_millis_training
3562.7529621124268
wall_clock_time_millis_training
3572.371006011963
wall_clock_time_millis_training
3565.491199493408
wall_clock_time_millis_training
3592.6120281219482
weighted_recall
0.8769716088328076 [0.940032,0.760479]
weighted_recall
0.8832807570977917 [0.933549,0.790419]
weighted_recall
0.880651945320715 [0.950527,0.751868]
weighted_recall
0.8937960042060988 [0.940795,0.807175]
weighted_recall
0.8769716088328076 [0.947283,0.747384]
weighted_recall
0.8874868559411146 [0.950527,0.7713]
weighted_recall
0.8753943217665615 [0.940795,0.754858]
weighted_recall
0.8780231335436383 [0.938362,0.766816]
weighted_recall
0.8901156677181914 [0.942417,0.793722]
weighted_recall
0.8753943217665615 [0.93674,0.762332]