463575
2
Joaquin Vanschoren
14
Supervised Classification
1079
weka.RandomForest(5)
1849
weka.classifiers.trees.RandomForest -- -I 100 -K 0 -S 1 -num-slots 1
I
100
1079
K
0
1079
S
1
1079
num-slots
1
1079
study_1
weka
weka_3.7.12
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
1629831
description
https://www.openml.org/data/download/1629831/weka_generated_run3504719347909196827.xml
-1
1629834
model_readable
https://www.openml.org/data/download/1629834/WekaModel_weka.classifiers.trees.RandomForest3902031136651974253.model
-1
1629833
model_serialized
https://www.openml.org/data/download/1629833/WekaSerialized_weka.classifiers.trees.RandomForest5398413617572888289.model
-1
1629832
predictions
https://www.openml.org/data/download/1629832/weka_generated_predictions3119883898270660412.arff
area_under_roc_curve
0.982904 [1,0.978156,0.997619,0.996008,0.983011,0.993031,0.946128,0.993757,0.998661,0.942668]
average_cost
0
f_measure
0.832701 [0.995,0.80303,0.957606,0.926582,0.841026,0.921182,0.527094,0.898824,0.972292,0.484375]
kappa
0.815556
kb_relative_information_score
1510.970508
mean_absolute_error
0.073388
mean_prior_absolute_error
0.18
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.832427 [0.995,0.811224,0.955224,0.938462,0.863158,0.907767,0.519417,0.848889,0.979695,0.505435]
predictive_accuracy
0.834
prior_entropy
3.321928
recall
0.834 [0.995,0.795,0.96,0.915,0.82,0.935,0.535,0.955,0.965,0.465]
relative_absolute_error
0.407711
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.164686
root_relative_squared_error
0.548952
scimark_benchmark
931.770954 [547.8142687314753, 966.8615045126586, 482.36378704342826, 908.0152143388744, 1753.799996626104]
total_cost
0
usercpu_time_millis
1920
usercpu_time_millis_testing
100
usercpu_time_millis_training
1820
area_under_roc_curve
0.983125 [1,0.980139,0.994306,0.996944,0.988611,1,0.918194,0.995972,1,0.957083]
area_under_roc_curve
0.983056 [1,0.972222,0.998611,0.990833,0.978611,0.993194,0.953333,0.992778,0.997917,0.953056]
area_under_roc_curve
0.981153 [1,0.975972,1,0.991944,0.99,0.995,0.926528,0.990694,1,0.941389]
area_under_roc_curve
0.990153 [1,0.988056,0.99625,0.999167,0.999583,0.997639,0.978611,0.995833,0.999444,0.946944]
area_under_roc_curve
0.983653 [1,0.971389,0.999167,0.994167,0.994167,0.99125,0.949861,0.994861,1,0.941667]
area_under_roc_curve
0.985167 [1,0.989722,1,0.996528,0.990556,0.991389,0.944306,0.996389,1,0.942778]
area_under_roc_curve
0.981583 [1,0.979028,0.995417,0.999167,0.97625,0.979444,0.970139,0.988611,1,0.927778]
area_under_roc_curve
0.986708 [1,0.968889,0.998611,0.997778,0.986389,0.998611,0.958194,0.995972,0.998889,0.96375]
area_under_roc_curve
0.981097 [1,0.979583,1,0.998472,0.986528,0.982917,0.944722,0.998611,1,0.920139]
area_under_roc_curve
0.975764 [1,0.980556,0.993472,0.998194,0.947778,0.999722,0.928889,0.993056,0.988194,0.927778]
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
0.805735 [0.974359,0.837209,0.926829,0.923077,0.878049,0.947368,0.277778,0.926829,0.97561,0.390244]
f_measure
0.825191 [1,0.871795,0.95,0.923077,0.756757,0.857143,0.540541,0.857143,0.95,0.545455]
f_measure
0.829098 [1,0.769231,1,0.871795,0.837209,0.926829,0.487805,0.871795,1,0.526316]
f_measure
0.860199 [1,0.820513,0.974359,0.97561,0.909091,0.947368,0.564103,0.9,0.974359,0.536585]
f_measure
0.795425 [1,0.648649,0.947368,0.9,0.756757,0.888889,0.512821,0.826087,1,0.473684]
f_measure
0.844194 [1,0.894737,0.97561,0.888889,0.857143,0.926829,0.595745,0.952381,0.97561,0.375]
f_measure
0.829784 [1,0.820513,0.947368,0.952381,0.833333,0.883721,0.638298,0.888889,1,0.333333]
f_measure
0.864252 [1,0.780488,0.97561,0.952381,0.871795,0.918919,0.666667,0.909091,0.918919,0.648649]
f_measure
0.869426 [1,0.842105,1,0.97561,0.864865,0.95,0.540541,0.930233,1,0.590909]
f_measure
0.789407 [0.97561,0.744186,0.883721,0.888889,0.823529,0.97561,0.390244,0.930233,0.923077,0.358974]
kappa
0.788889
kappa
0.805556
kappa
0.811111
kappa
0.844444
kappa
0.777778
kappa
0.833333
kappa
0.822222
kappa
0.85
kappa
0.855556
kappa
0.766667
kb_relative_information_score
148.943669
kb_relative_information_score
151.573387
kb_relative_information_score
147.919556
kb_relative_information_score
154.477704
kb_relative_information_score
149.009345
kb_relative_information_score
153.6366
kb_relative_information_score
152.093775
kb_relative_information_score
153.536966
kb_relative_information_score
153.512878
kb_relative_information_score
146.266628
mean_absolute_error
0.07641
mean_absolute_error
0.07252
mean_absolute_error
0.07678
mean_absolute_error
0.07069
mean_absolute_error
0.0754
mean_absolute_error
0.07094
mean_absolute_error
0.07247
mean_absolute_error
0.07176
mean_absolute_error
0.071
mean_absolute_error
0.07591
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
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
0.804248 [1,0.782609,0.904762,0.947368,0.857143,1,0.3125,0.904762,0.952381,0.380952]
precision
0.829023 [1,0.894737,0.95,0.947368,0.823529,0.818182,0.588235,0.818182,0.95,0.5]
precision
0.829806 [1,0.789474,1,0.894737,0.782609,0.904762,0.47619,0.894737,1,0.555556]
precision
0.863058 [1,0.842105,1,0.952381,0.833333,1,0.578947,0.9,1,0.52381]
precision
0.79865 [1,0.705882,1,0.9,0.823529,0.8,0.526316,0.730769,1,0.5]
precision
0.849976 [1,0.944444,0.952381,1,0.818182,0.904762,0.518519,0.909091,0.952381,0.5]
precision
0.837034 [1,0.842105,1,0.909091,0.9375,0.826087,0.555556,0.8,1,0.5]
precision
0.869369 [1,0.761905,0.952381,0.909091,0.894737,1,0.636364,0.833333,1,0.705882]
precision
0.873191 [1,0.888889,1,0.952381,0.941176,0.95,0.588235,0.869565,1,0.541667]
precision
0.799281 [0.952381,0.695652,0.826087,1,1,0.952381,0.380952,0.869565,0.947368,0.368421]
predictive_accuracy
0.81
predictive_accuracy
0.825
predictive_accuracy
0.83
predictive_accuracy
0.86
predictive_accuracy
0.8
predictive_accuracy
0.85
predictive_accuracy
0.84
predictive_accuracy
0.865
predictive_accuracy
0.87
predictive_accuracy
0.79
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
recall
0.81 [0.95,0.9,0.95,0.9,0.9,0.9,0.25,0.95,1,0.4]
recall
0.825 [1,0.85,0.95,0.9,0.7,0.9,0.5,0.9,0.95,0.6]
recall
0.83 [1,0.75,1,0.85,0.9,0.95,0.5,0.85,1,0.5]
recall
0.86 [1,0.8,0.95,1,1,0.9,0.55,0.9,0.95,0.55]
recall
0.8 [1,0.6,0.9,0.9,0.7,1,0.5,0.95,1,0.45]
recall
0.85 [1,0.85,1,0.8,0.9,0.95,0.7,1,1,0.3]
recall
0.84 [1,0.8,0.9,1,0.75,0.95,0.75,1,1,0.25]
recall
0.865 [1,0.8,1,1,0.85,0.85,0.7,1,0.85,0.6]
recall
0.87 [1,0.8,1,1,0.8,0.95,0.5,1,1,0.65]
recall
0.79 [1,0.8,0.95,0.8,0.7,1,0.4,1,0.9,0.35]
relative_absolute_error
0.4245
relative_absolute_error
0.402889
relative_absolute_error
0.426556
relative_absolute_error
0.392722
relative_absolute_error
0.418889
relative_absolute_error
0.394111
relative_absolute_error
0.402611
relative_absolute_error
0.398667
relative_absolute_error
0.394444
relative_absolute_error
0.421722
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.169063
root_mean_squared_error
0.165081
root_mean_squared_error
0.169878
root_mean_squared_error
0.157145
root_mean_squared_error
0.170134
root_mean_squared_error
0.158041
root_mean_squared_error
0.163148
root_mean_squared_error
0.160675
root_mean_squared_error
0.158863
root_mean_squared_error
0.173877
root_relative_squared_error
0.563544
root_relative_squared_error
0.55027
root_relative_squared_error
0.56626
root_relative_squared_error
0.523815
root_relative_squared_error
0.567113
root_relative_squared_error
0.526803
root_relative_squared_error
0.543827
root_relative_squared_error
0.535584
root_relative_squared_error
0.529544
root_relative_squared_error
0.57959
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
1680
usercpu_time_millis
1750
usercpu_time_millis
1650
usercpu_time_millis
1640
usercpu_time_millis
1630
usercpu_time_millis
1610
usercpu_time_millis
1620
usercpu_time_millis
1620
usercpu_time_millis
1610
usercpu_time_millis
1600
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
20
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
20
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_training
1670
usercpu_time_millis_training
1740
usercpu_time_millis_training
1630
usercpu_time_millis_training
1630
usercpu_time_millis_training
1620
usercpu_time_millis_training
1600
usercpu_time_millis_training
1610
usercpu_time_millis_training
1600
usercpu_time_millis_training
1600
usercpu_time_millis_training
1590