91
1
Jan van Rijn
16
Supervised Classification
61
weka.REPTree(1)
6
weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0
I
0.0
61
L
-1
61
M
2
61
N
3
61
S
1
61
V
0.001
61
16
mfeat-karhunen
https://www.openml.org/data/download/16/dataset_16_mfeat-karhunen.arff
-1
243
description
https://api.openml.org/data/download/243/weka_generated_run4351734841771945005.xml
-1
244
predictions
https://api.openml.org/data/download/244/weka_generated_predictions2250716410484316145.arff
area_under_roc_curve
0.93533 [0.962394,0.961624,0.961263,0.938533,0.955211,0.897675,0.941939,0.968426,0.875542,0.890689]
average_cost
0
f_measure
0.771576 [0.804878,0.824645,0.860759,0.768116,0.803069,0.675192,0.792929,0.839506,0.639344,0.707317]
kappa
0.747778
kb_relative_information_score
1476.053885
mean_absolute_error
0.05994
mean_prior_absolute_error
0.18
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
os_information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
precision
0.772296 [0.785714,0.783784,0.871795,0.742991,0.82199,0.691099,0.80102,0.829268,0.704819,0.690476]
predictive_accuracy
0.773
prior_entropy
3.321928
recall
0.773 [0.825,0.87,0.85,0.795,0.785,0.66,0.785,0.85,0.585,0.725]
relative_absolute_error
0.333001
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.191028
root_relative_squared_error
0.636761
scimark_benchmark
1989.162767081776 [ 1243.6653108650207, 1622.698954105263, 905.7290600406541, 1678.7960796991422, 4494.924430698801 ]
total_cost
0
area_under_roc_curve
0.910556 [0.93625,0.924444,0.955,0.918056,0.926944,0.86875,0.943056,0.938472,0.7925,0.902083]
area_under_roc_curve
0.92575 [0.984444,0.993472,0.991944,0.855833,0.956944,0.839583,0.959444,0.924167,0.900833,0.850833]
area_under_roc_curve
0.951347 [0.959861,0.997917,0.95875,0.962917,0.989444,0.878194,0.99125,0.989583,0.891111,0.894444]
area_under_roc_curve
0.951 [0.953611,0.9975,0.987083,0.918889,0.950278,0.946111,0.950833,0.990278,0.933889,0.881528]
area_under_roc_curve
0.931625 [0.952917,0.949722,0.964444,0.902639,0.92,0.928472,0.933611,0.975556,0.90875,0.880139]
area_under_roc_curve
0.909792 [0.964583,0.955278,0.960417,0.952639,0.945139,0.831806,0.915278,0.974861,0.803889,0.794028]
area_under_roc_curve
0.931431 [0.958333,0.924306,0.883333,0.986944,0.971944,0.917361,0.865139,0.971111,0.911806,0.924028]
area_under_roc_curve
0.946153 [0.967917,0.933056,0.96125,0.988333,0.984306,0.901389,0.989306,0.949167,0.882778,0.904028]
area_under_roc_curve
0.945236 [0.982361,0.950833,0.964722,0.949306,0.958889,0.889028,0.946528,0.998472,0.871389,0.940833]
area_under_roc_curve
0.939458 [0.93125,0.982222,0.993889,0.938472,0.940417,0.96,0.924167,0.981806,0.830556,0.911806]
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
build_cpu_time
0.175
build_cpu_time
0.173
build_cpu_time
0.17
build_cpu_time
0.18
build_cpu_time
0.174
build_cpu_time
0.174
build_cpu_time
0.173
build_cpu_time
0.177
build_cpu_time
0.173
build_cpu_time
0.178
f_measure
0.719188 [0.731707,0.744186,0.9,0.711111,0.789474,0.625,0.65,0.833333,0.484848,0.722222]
f_measure
0.799658 [0.8,0.883721,0.864865,0.75,0.894737,0.684211,0.857143,0.761905,0.7,0.8]
f_measure
0.81929 [0.842105,0.930233,0.878049,0.810811,0.871795,0.666667,0.883721,0.9,0.666667,0.742857]
f_measure
0.82438 [0.820513,0.97561,0.842105,0.744186,0.833333,0.756757,0.883721,0.878049,0.809524,0.7]
f_measure
0.744609 [0.75,0.731707,0.947368,0.666667,0.727273,0.666667,0.717949,0.844444,0.742857,0.651163]
f_measure
0.731683 [0.844444,0.809524,0.8,0.809524,0.75,0.647059,0.742857,0.809524,0.484848,0.619048]
f_measure
0.744194 [0.857143,0.681818,0.722222,0.878049,0.755556,0.722222,0.780488,0.761905,0.571429,0.711111]
f_measure
0.784449 [0.8,0.837209,0.842105,0.871795,0.820513,0.634146,0.857143,0.85,0.648649,0.682927]
f_measure
0.803624 [0.878049,0.864865,0.878049,0.744186,0.857143,0.588235,0.864865,0.95,0.666667,0.744186]
f_measure
0.740067 [0.744186,0.8,0.926829,0.714286,0.731707,0.769231,0.647059,0.810811,0.545455,0.711111]
kappa
0.688889
kappa
0.777778
kappa
0.8
kappa
0.805556
kappa
0.716667
kappa
0.711111
kappa
0.716667
kappa
0.761111
kappa
0.783333
kappa
0.716667
kb_relative_information_score
136.853264
kb_relative_information_score
152.286392
kb_relative_information_score
156.129519
kb_relative_information_score
155.226669
kb_relative_information_score
143.598984
kb_relative_information_score
141.795141
kb_relative_information_score
144.085092
kb_relative_information_score
150.498531
kb_relative_information_score
153.582801
kb_relative_information_score
141.997494
mean_absolute_error
0.069342
mean_absolute_error
0.054036
mean_absolute_error
0.05186
mean_absolute_error
0.054406
mean_absolute_error
0.064586
mean_absolute_error
0.066407
mean_absolute_error
0.063755
mean_absolute_error
0.057309
mean_absolute_error
0.053878
mean_absolute_error
0.063823
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
0.733437 [0.714286,0.695652,0.9,0.64,0.833333,0.535714,0.65,0.9375,0.615385,0.8125]
precision
0.802938 [0.8,0.826087,0.941176,0.75,0.944444,0.722222,0.818182,0.727273,0.7,0.8]
precision
0.830687 [0.888889,0.869565,0.857143,0.882353,0.894737,0.571429,0.826087,0.9,0.75,0.866667]
precision
0.829601 [0.842105,0.952381,0.888889,0.695652,0.9375,0.823529,0.826087,0.857143,0.772727,0.7]
precision
0.763879 [0.642857,0.714286,1,0.636364,0.923077,0.75,0.736842,0.76,0.866667,0.608696]
precision
0.740686 [0.76,0.772727,0.72,0.772727,0.75,0.785714,0.866667,0.772727,0.615385,0.590909]
precision
0.758299 [1,0.625,0.8125,0.857143,0.68,0.8125,0.761905,0.727273,0.666667,0.64]
precision
0.786812 [0.8,0.782609,0.888889,0.894737,0.842105,0.619048,0.818182,0.85,0.705882,0.666667]
precision
0.810677 [0.857143,0.941176,0.857143,0.695652,0.818182,0.714286,0.941176,0.95,0.636364,0.695652]
precision
0.750637 [0.695652,0.72,0.904762,0.681818,0.714286,0.789474,0.785714,0.882353,0.692308,0.64]
predictive_accuracy
0.72
predictive_accuracy
0.8
predictive_accuracy
0.82
predictive_accuracy
0.825
predictive_accuracy
0.745
predictive_accuracy
0.74
predictive_accuracy
0.745
predictive_accuracy
0.785
predictive_accuracy
0.805
predictive_accuracy
0.745
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
0.72 [0.75,0.8,0.9,0.8,0.75,0.75,0.65,0.75,0.4,0.65]
recall
0.8 [0.8,0.95,0.8,0.75,0.85,0.65,0.9,0.8,0.7,0.8]
recall
0.82 [0.8,1,0.9,0.75,0.85,0.8,0.95,0.9,0.6,0.65]
recall
0.825 [0.8,1,0.8,0.8,0.75,0.7,0.95,0.9,0.85,0.7]
recall
0.745 [0.9,0.75,0.9,0.7,0.6,0.6,0.7,0.95,0.65,0.7]
recall
0.74 [0.95,0.85,0.9,0.85,0.75,0.55,0.65,0.85,0.4,0.65]
recall
0.745 [0.75,0.75,0.65,0.9,0.85,0.65,0.8,0.8,0.5,0.8]
recall
0.785 [0.8,0.9,0.8,0.85,0.8,0.65,0.9,0.85,0.6,0.7]
recall
0.805 [0.9,0.8,0.9,0.8,0.9,0.5,0.8,0.95,0.7,0.8]
recall
0.745 [0.8,0.9,0.95,0.75,0.75,0.75,0.55,0.75,0.45,0.8]
relative_absolute_error
0.385236
relative_absolute_error
0.300202
relative_absolute_error
0.288111
relative_absolute_error
0.302253
relative_absolute_error
0.358813
relative_absolute_error
0.368926
relative_absolute_error
0.354194
relative_absolute_error
0.318383
relative_absolute_error
0.29932
relative_absolute_error
0.354575
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
0.214415
root_mean_squared_error
0.181298
root_mean_squared_error
0.170706
root_mean_squared_error
0.170808
root_mean_squared_error
0.200922
root_mean_squared_error
0.200696
root_mean_squared_error
0.202192
root_mean_squared_error
0.1857
root_mean_squared_error
0.175577
root_mean_squared_error
0.20228
root_relative_squared_error
0.714717
root_relative_squared_error
0.604326
root_relative_squared_error
0.569021
root_relative_squared_error
0.56936
root_relative_squared_error
0.669741
root_relative_squared_error
0.668986
root_relative_squared_error
0.673975
root_relative_squared_error
0.618999
root_relative_squared_error
0.585257
root_relative_squared_error
0.674265
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