2235922
1856
Miguel Cachada
14
Supervised Classification
5923
weka.RandomForest(12)
332708
weka.classifiers.trees.RandomForest -- -P 80 -I 100 -num-slots 1 -K 250 -M 10.0 -V 0.001 -S 1
P
80
5923
I
100
5923
num-slots
1
5923
K
250
5923
M
10.0
5923
V
0.001
5923
S
1
5923
study_70
weka
weka_3.8.1
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
5426493
description
https://www.openml.org/data/download/5426493/weka_generated_run4486830505866897413.xml
-1
5426495
model_readable
https://www.openml.org/data/download/5426495/WekaModel_weka.classifiers.trees.RandomForest4682414416605890273.model
-1
5426494
model_serialized
https://www.openml.org/data/download/5426494/WekaSerialized_weka.classifiers.trees.RandomForest5819140836790938630.model
-1
5426496
predictions
https://www.openml.org/data/download/5426496/weka_generated_predictions6039790623952489240.arff
area_under_roc_curve
0.980116 [0.999721,0.970022,0.993654,0.987489,0.979953,0.98954,0.943167,0.98755,0.997387,0.952678]
average_cost
0
f_measure
0.814954 [0.977556,0.750605,0.93401,0.868895,0.790816,0.881612,0.54,0.883721,0.948718,0.573604]
kappa
0.794444
kb_relative_information_score
1593.290598
mean_absolute_error
0.057752
mean_prior_absolute_error
0.18
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.816332 [0.975124,0.7277,0.948454,0.89418,0.807292,0.888325,0.54,0.826087,0.973684,0.582474]
predictive_accuracy
0.815
prior_entropy
3.321928
recall
0.815 [0.98,0.775,0.92,0.845,0.775,0.875,0.54,0.95,0.925,0.565]
relative_absolute_error
0.320843
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.160297
root_relative_squared_error
0.534322
total_cost
0
area_under_roc_curve
0.982333 [1,0.977778,0.993611,0.994167,0.976389,1,0.932778,0.996111,0.998611,0.953889]
area_under_roc_curve
0.97975 [0.998889,0.976389,0.989722,0.981389,0.971389,0.985833,0.950556,0.991667,0.999722,0.951944]
area_under_roc_curve
0.972306 [1,0.971111,0.997222,0.968056,0.985,0.990833,0.909722,0.955833,1,0.945278]
area_under_roc_curve
0.983861 [0.999722,0.962778,0.996944,0.994444,0.980556,0.9925,0.970833,0.996389,0.998889,0.945556]
area_under_roc_curve
0.981222 [1,0.966667,0.996667,0.995,0.987778,0.991111,0.9575,0.981944,0.998889,0.936667]
area_under_roc_curve
0.982722 [1,0.973056,0.999444,0.991389,0.9875,0.976667,0.948889,0.992222,0.999722,0.958333]
area_under_roc_curve
0.984944 [1,0.980278,0.988056,0.996667,0.986667,0.988611,0.973889,0.988889,1,0.946389]
area_under_roc_curve
0.980014 [0.997778,0.97,0.999722,0.985833,0.969444,0.995833,0.932361,0.992222,0.981944,0.975]
area_under_roc_curve
0.983306 [1,0.970278,0.999722,0.997778,0.987778,0.980556,0.941389,0.995833,1,0.959722]
area_under_roc_curve
0.976556 [1,0.960278,0.985,0.980278,0.980278,0.995833,0.915278,0.993889,0.997778,0.956944]
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
0.80516 [1,0.755556,0.9,0.864865,0.809524,0.947368,0.487805,0.9,0.9,0.486486]
f_measure
0.777528 [0.974359,0.780488,0.864865,0.8,0.722222,0.809524,0.5,0.863636,0.947368,0.512821]
f_measure
0.801773 [1,0.681818,0.918919,0.833333,0.844444,0.871795,0.410256,0.871795,1,0.585366]
f_measure
0.834527 [0.95,0.756757,0.95,0.930233,0.75,0.833333,0.717949,0.878049,0.947368,0.631579]
f_measure
0.79585 [0.97561,0.682927,0.974359,0.926829,0.742857,0.871795,0.526316,0.808511,0.97561,0.473684]
f_measure
0.8276 [1,0.782609,0.974359,0.789474,0.787879,0.863636,0.594595,0.909091,0.974359,0.6]
f_measure
0.829266 [0.974359,0.769231,0.9,0.918919,0.842105,0.863636,0.594595,0.844444,1,0.585366]
f_measure
0.834904 [0.95,0.714286,0.97561,0.871795,0.756757,0.894737,0.65,0.909091,0.864865,0.761905]
f_measure
0.843101 [0.97561,0.823529,0.974359,0.909091,0.85,0.923077,0.473684,0.930233,1,0.571429]
f_measure
0.797665 [0.97561,0.772727,0.904762,0.823529,0.789474,0.947368,0.468085,0.930233,0.864865,0.5]
kappa
0.783333
kappa
0.75
kappa
0.777778
kappa
0.816667
kappa
0.777778
kappa
0.811111
kappa
0.811111
kappa
0.816667
kappa
0.827778
kappa
0.772222
kb_relative_information_score
161.04916
kb_relative_information_score
155.911641
kb_relative_information_score
156.479338
kb_relative_information_score
159.284447
kb_relative_information_score
158.694395
kb_relative_information_score
161.471487
kb_relative_information_score
161.200319
kb_relative_information_score
158.564207
kb_relative_information_score
163.488999
kb_relative_information_score
157.146604
mean_absolute_error
0.055953
mean_absolute_error
0.061349
mean_absolute_error
0.060397
mean_absolute_error
0.057273
mean_absolute_error
0.058578
mean_absolute_error
0.055767
mean_absolute_error
0.056026
mean_absolute_error
0.058252
mean_absolute_error
0.053718
mean_absolute_error
0.060204
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
0.809951 [1,0.68,0.9,0.941176,0.772727,1,0.47619,0.9,0.9,0.529412]
precision
0.786462 [1,0.761905,0.941176,0.8,0.8125,0.772727,0.458333,0.791667,1,0.526316]
precision
0.810445 [1,0.625,1,0.9375,0.76,0.894737,0.421053,0.894737,1,0.571429]
precision
0.84341 [0.95,0.823529,0.95,0.869565,0.642857,0.9375,0.736842,0.857143,1,0.666667]
precision
0.799685 [0.952381,0.666667,1,0.904762,0.866667,0.894737,0.555556,0.703704,0.952381,0.5]
precision
0.83977 [1,0.692308,1,0.833333,1,0.791667,0.647059,0.833333,1,0.6]
precision
0.834852 [1,0.789474,0.9,1,0.888889,0.791667,0.647059,0.76,1,0.571429]
precision
0.839869 [0.95,0.681818,0.952381,0.894737,0.823529,0.944444,0.65,0.833333,0.941176,0.727273]
precision
0.84981 [0.952381,1,1,0.833333,0.85,0.947368,0.5,0.869565,1,0.545455]
precision
0.813833 [0.952381,0.708333,0.863636,1,0.833333,1,0.407407,0.869565,0.941176,0.5625]
predictive_accuracy
0.805
predictive_accuracy
0.775
predictive_accuracy
0.8
predictive_accuracy
0.835
predictive_accuracy
0.8
predictive_accuracy
0.83
predictive_accuracy
0.83
predictive_accuracy
0.835
predictive_accuracy
0.845
predictive_accuracy
0.795
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
0.805 [1,0.85,0.9,0.8,0.85,0.9,0.5,0.9,0.9,0.45]
recall
0.775 [0.95,0.8,0.8,0.8,0.65,0.85,0.55,0.95,0.9,0.5]
recall
0.8 [1,0.75,0.85,0.75,0.95,0.85,0.4,0.85,1,0.6]
recall
0.835 [0.95,0.7,0.95,1,0.9,0.75,0.7,0.9,0.9,0.6]
recall
0.8 [1,0.7,0.95,0.95,0.65,0.85,0.5,0.95,1,0.45]
recall
0.83 [1,0.9,0.95,0.75,0.65,0.95,0.55,1,0.95,0.6]
recall
0.83 [0.95,0.75,0.9,0.85,0.8,0.95,0.55,0.95,1,0.6]
recall
0.835 [0.95,0.75,1,0.85,0.7,0.85,0.65,1,0.8,0.8]
recall
0.845 [1,0.7,0.95,1,0.85,0.9,0.45,1,1,0.6]
recall
0.795 [1,0.85,0.95,0.7,0.75,0.9,0.55,1,0.8,0.45]
relative_absolute_error
0.310849
relative_absolute_error
0.340828
relative_absolute_error
0.335539
relative_absolute_error
0.318186
relative_absolute_error
0.325436
relative_absolute_error
0.309817
relative_absolute_error
0.311254
relative_absolute_error
0.323622
relative_absolute_error
0.298431
relative_absolute_error
0.334465
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
0.15835
root_mean_squared_error
0.169051
root_mean_squared_error
0.166393
root_mean_squared_error
0.159817
root_mean_squared_error
0.163366
root_mean_squared_error
0.15334
root_mean_squared_error
0.154853
root_mean_squared_error
0.161652
root_mean_squared_error
0.149842
root_mean_squared_error
0.165239
root_relative_squared_error
0.527832
root_relative_squared_error
0.563503
root_relative_squared_error
0.554644
root_relative_squared_error
0.532724
root_relative_squared_error
0.544554
root_relative_squared_error
0.511134
root_relative_squared_error
0.516177
root_relative_squared_error
0.538841
root_relative_squared_error
0.499473
root_relative_squared_error
0.550796
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