10560098
6691
Sergey Redyuk
9960
Supervised Classification
18864
sklearn.ensemble.forest.RandomForestClassifier(66)
8276521
Python_3.6.14. Sklearn_0.18. NumPy_1.16.6. SciPy_0.19.0.
bootstrap
true
18864
class_weight
null
18864
criterion
"gini"
18864
max_depth
null
18864
max_features
"auto"
18864
max_leaf_nodes
null
18864
min_impurity_split
1e-07
18864
min_samples_leaf
1
18864
min_samples_split
2
18864
min_weight_fraction_leaf
0.0
18864
n_estimators
10
18864
n_jobs
1
18864
oob_score
false
18864
random_state
42620
18864
verbose
0
18864
warm_start
false
18864
openml-python
Sklearn_0.18.
1497
wall-robot-navigation
https://www.openml.org/data/download/1592289/phpVeNa5j
-1
22046268
description
https://api.openml.org/data/download/22046268/description.xml
-1
22046269
predictions
https://api.openml.org/data/download/22046269/predictions.arff
area_under_roc_curve
0.9996202549483482 [0.999726,0.99968,0.999818,0.999107]
average_cost
0
f_measure
0.991185463046046 [0.991833,0.994291,0.973725,0.988506]
kappa
0.9867090318981611
kb_relative_information_score
0.9579808431994544
mean_absolute_error
0.02060117302052752
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9912023460410557 [0.991383,0.996662,0.960366,0.989104]
number_of_instances
5456 [2205,2097,328,826]
precision
0.9911958374578891 [0.992283,0.991932,0.987461,0.987908]
predictive_accuracy
0.9912023460410557
prior_entropy
1.7146330399083418
relative_absolute_error
0.06219444530304243
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.07439270255575033
root_relative_squared_error
0.18280841234712672
total_cost
0
unweighted_recall
0.9843787719463493 [0.991383,0.996662,0.960366,0.989104]
area_under_roc_curve
0.9980305395182276 [0.999603,0.997924,0.99997,0.993285]
area_under_roc_curve
0.9995214443292572 [0.998935,0.999979,0.99935,1]
area_under_roc_curve
0.9997712362751607 [0.999693,0.999844,0.99935,0.999961]
area_under_roc_curve
0.9999534546945595 [0.999944,0.999986,0.999823,0.999948]
area_under_roc_curve
0.9998812068349974 [0.999833,0.999957,0.999911,0.999805]
area_under_roc_curve
0.9996183694056389 [0.999707,0.999582,1,0.999323]
area_under_roc_curve
0.9997719481668544 [0.999734,0.999872,1,0.999531]
area_under_roc_curve
0.9997738874841322 [0.999881,0.999836,1,0.999244]
area_under_roc_curve
0.9999494581717866 [0.999937,0.99995,1,0.99996]
area_under_roc_curve
0.9999654584208186 [0.999944,1,1,0.999921]
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
0.9908441850684248 [0.993166,0.990566,0.984615,0.987805]
f_measure
0.9868551198247573 [0.98427,0.997625,0.918033,0.993939]
f_measure
0.9908424908424909 [0.990909,0.995238,0.969697,0.987952]
f_measure
0.9927183227677557 [0.993166,0.995215,0.970588,0.994012]
f_measure
0.9944972066496905 [0.995434,0.995261,0.984615,0.994012]
f_measure
0.9871685222443959 [0.988558,0.990566,0.984615,0.975904]
f_measure
0.9889929653577642 [0.988662,0.990476,0.984615,0.987805]
f_measure
0.9889546095586006 [0.990991,0.99284,0.984127,0.97561]
f_measure
0.9925433141946904 [0.995495,0.995215,0.952381,0.993939]
f_measure
0.9981686174608848 [0.997732,1,1,0.993939]
kappa
0.9861574501313268
kappa
0.9805567425676088
kappa
0.9861868668980662
kappa
0.9889768787002408
kappa
0.9917108619084248
kappa
0.9806472193669585
kappa
0.983360980226535
kappa
0.9833279799323941
kappa
0.9888925687208621
kappa
0.9972310990758476
kb_relative_information_score
0.9560636419084364
kb_relative_information_score
0.9475983246478265
kb_relative_information_score
0.9547688535786868
kb_relative_information_score
0.9602503569146944
kb_relative_information_score
0.9681746077032917
kb_relative_information_score
0.9558479456624636
kb_relative_information_score
0.9564141014339763
kb_relative_information_score
0.9553839617402161
kb_relative_information_score
0.9674808194905407
kb_relative_information_score
0.9578168828516708
mean_absolute_error
0.021245421245421257
mean_absolute_error
0.024816849816849843
mean_absolute_error
0.021794871794871808
mean_absolute_error
0.019871794871794878
mean_absolute_error
0.016117216117216105
mean_absolute_error
0.020787545787545793
mean_absolute_error
0.021100917431192683
mean_absolute_error
0.02201834862385321
mean_absolute_error
0.016238532110091724
mean_absolute_error
0.02201834862385322
mean_prior_absolute_error
0.3311434139730841
mean_prior_absolute_error
0.3311434139730841
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.3311205766710351
mean_prior_absolute_error
0.3311024296804111
mean_prior_absolute_error
0.3311861074705109
mean_prior_absolute_error
0.3311861074705109
number_of_instances
546 [221,210,33,82]
number_of_instances
546 [221,210,33,82]
number_of_instances
546 [220,210,33,83]
number_of_instances
546 [220,210,33,83]
number_of_instances
546 [220,210,33,83]
number_of_instances
546 [220,210,33,83]
number_of_instances
545 [220,210,32,83]
number_of_instances
545 [221,209,32,83]
number_of_instances
545 [221,209,33,82]
number_of_instances
545 [221,209,33,82]
precision
0.9909794255588648 [1,0.981308,1,0.987805]
precision
0.9873328787820114 [0.977679,0.995261,1,0.987952]
precision
0.9908424908424909 [0.990909,0.995238,0.969697,0.987952]
precision
0.9928967477401919 [0.995434,1,0.942857,0.988095]
precision
0.9945618547370568 [1,0.990566,1,0.988095]
precision
0.9872911015940431 [0.995392,0.981308,1,0.975904]
precision
0.9890713352127275 [0.986425,0.990476,0.969697,1]
precision
0.9890123638185239 [0.986547,0.990476,1,0.987654]
precision
0.9927155695642239 [0.991031,0.995215,1,0.987952]
precision
0.9981872443904056 [1,1,1,0.987952]
predictive_accuracy
0.9908424908424908
predictive_accuracy
0.9871794871794871
predictive_accuracy
0.9908424908424908
predictive_accuracy
0.9926739926739927
predictive_accuracy
0.9945054945054944
predictive_accuracy
0.9871794871794871
predictive_accuracy
0.9889908256880734
predictive_accuracy
0.9889908256880734
predictive_accuracy
0.9926605504587155
predictive_accuracy
0.9981651376146788
prior_entropy
1.7138246699606299
prior_entropy
1.7138246699606299
prior_entropy
1.7164171123716554
prior_entropy
1.7164171123716554
prior_entropy
1.7164171123716554
prior_entropy
1.7164171123716554
prior_entropy
1.7121302787024806
prior_entropy
1.711997401430895
prior_entropy
1.714437400963805
prior_entropy
1.714437400963805
relative_absolute_error
0.06415776472953837
relative_absolute_error
0.07494290621424528
relative_absolute_error
0.06577107971506697
relative_absolute_error
0.05996774915197281
relative_absolute_error
0.04863743710021753
relative_absolute_error
0.06273123989630336
relative_absolute_error
0.06372578123453869
relative_absolute_error
0.06650011189922679
relative_absolute_error
0.04903144106531587
relative_absolute_error
0.06648330991907248
root_mean_prior_squared_error
0.4068271240296317
root_mean_prior_squared_error
0.4068271240296317
root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
0.4067990554858411
root_mean_prior_squared_error
0.40677675026179705
root_mean_prior_squared_error
0.4068795919478491
root_mean_prior_squared_error
0.4068795919478491
root_mean_squared_error
0.08187366306265217
root_mean_squared_error
0.08408089598474235
root_mean_squared_error
0.07601571073395466
root_mean_squared_error
0.07019073960815571
root_mean_squared_error
0.06347679914192289
root_mean_squared_error
0.08114338595504304
root_mean_squared_error
0.07644629943462075
root_mean_squared_error
0.0757833706432687
root_mean_squared_error
0.06396673447399083
root_mean_squared_error
0.06759295332687817
root_relative_squared_error
0.2012492732826949
root_relative_squared_error
0.20667475450485995
root_relative_squared_error
0.18671973582608273
root_relative_squared_error
0.17241167951374575
root_relative_squared_error
0.15592002038035205
root_relative_squared_error
0.1993150026918295
root_relative_squared_error
0.18792152637454074
root_relative_squared_error
0.18630211926934212
root_relative_squared_error
0.15721293409621198
root_relative_squared_error
0.16612519935760686
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
0.9859817967780665 [0.986425,1,0.969697,0.987805]
unweighted_recall
0.9598587686822981 [0.99095,1,0.848485,1]
unweighted_recall
0.9859489907682679 [0.990909,0.995238,0.969697,0.987952]
unweighted_recall
0.9953463203463204 [0.990909,0.990476,1,1]
unweighted_recall
0.9901515151515152 [0.990909,1,0.969697,1]
unweighted_recall
0.9818546914932458 [0.981818,1,0.969697,0.975904]
unweighted_recall
0.9893222239607783 [0.990909,0.990476,1,0.975904]
unweighted_recall
0.9808239614534259 [0.995475,0.995215,0.96875,0.963855]
unweighted_recall
0.9760765550239234 [1,0.995215,0.909091,1]
unweighted_recall
0.998868778280543 [0.995475,1,1,1]
usercpu_time_millis
93.75
usercpu_time_millis
109.375
usercpu_time_millis
93.75
usercpu_time_millis
93.75
usercpu_time_millis
78.125
usercpu_time_millis
93.75
usercpu_time_millis
93.75
usercpu_time_millis
93.75
usercpu_time_millis
93.75
usercpu_time_millis
109.375
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
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
15.625
usercpu_time_millis_training
93.75
usercpu_time_millis_training
93.75
usercpu_time_millis_training
93.75
usercpu_time_millis_training
93.75
usercpu_time_millis_training
78.125
usercpu_time_millis_training
93.75
usercpu_time_millis_training
93.75
usercpu_time_millis_training
93.75
usercpu_time_millis_training
93.75
usercpu_time_millis_training
93.75
wall_clock_time_millis
92.75364875793457
wall_clock_time_millis
98.00338745117188
wall_clock_time_millis
96.18782997131348
wall_clock_time_millis
95.07226943969727
wall_clock_time_millis
91.9797420501709
wall_clock_time_millis
92.05770492553711
wall_clock_time_millis
106.50634765625
wall_clock_time_millis
95.30997276306152
wall_clock_time_millis
98.01459312438965
wall_clock_time_millis
95.76559066772461
wall_clock_time_millis_testing
1.558542251586914
wall_clock_time_millis_testing
1.5456676483154297
wall_clock_time_millis_testing
1.5151500701904297
wall_clock_time_millis_testing
1.6117095947265625
wall_clock_time_millis_testing
1.5330314636230469
wall_clock_time_millis_testing
1.5439987182617188
wall_clock_time_millis_testing
1.5566349029541016
wall_clock_time_millis_testing
1.581430435180664
wall_clock_time_millis_testing
1.4874935150146484
wall_clock_time_millis_testing
1.5785694122314453
wall_clock_time_millis_training
91.19510650634766
wall_clock_time_millis_training
96.45771980285645
wall_clock_time_millis_training
94.67267990112305
wall_clock_time_millis_training
93.4605598449707
wall_clock_time_millis_training
90.44671058654785
wall_clock_time_millis_training
90.51370620727539
wall_clock_time_millis_training
104.9497127532959
wall_clock_time_millis_training
93.72854232788086
wall_clock_time_millis_training
96.527099609375
wall_clock_time_millis_training
94.18702125549316
weighted_recall
0.9908424908424909 [0.986425,1,0.969697,0.987805]
weighted_recall
0.9871794871794872 [0.99095,1,0.848485,1]
weighted_recall
0.9908424908424909 [0.990909,0.995238,0.969697,0.987952]
weighted_recall
0.9926739926739927 [0.990909,0.990476,1,1]
weighted_recall
0.9945054945054945 [0.990909,1,0.969697,1]
weighted_recall
0.9871794871794872 [0.981818,1,0.969697,0.975904]
weighted_recall
0.9889908256880734 [0.990909,0.990476,1,0.975904]
weighted_recall
0.9889908256880734 [0.995475,0.995215,0.96875,0.963855]
weighted_recall
0.9926605504587156 [1,0.995215,0.909091,1]
weighted_recall
0.998165137614679 [0.995475,1,1,1]