182
1
Jan van Rijn
22
Supervised Classification
63
weka.HoeffdingTree(1)
8
weka.classifiers.trees.HoeffdingTree -- -L 2 -S 1 -E 1.0E-7 -H 0.05 -M 0.01 -G 200.0 -N 0.0
E
1.0E-7
63
G
200.0
63
H
0.05
63
L
2
63
M
0.01
63
N
0.0
63
S
1
63
22
mfeat-zernike
https://www.openml.org/data/download/22/dataset_22_mfeat-zernike.arff
-1
425
description
https://api.openml.org/data/download/425/weka_generated_run669956525883183555.xml
-1
426
predictions
https://api.openml.org/data/download/426/weka_generated_predictions5721024212871474741.arff
area_under_roc_curve
0.952119 [0.980451,0.989417,0.983828,0.961606,0.979126,0.924214,0.878706,0.987193,0.952531,0.884117]
average_cost
0
f_measure
0.733457 [0.934726,0.869779,0.883375,0.780612,0.761446,0.622449,0.350617,0.907317,0.830467,0.393782]
kappa
0.705
kb_relative_information_score
1516.107242
mean_absolute_error
0.053362
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
0.733432 [0.978142,0.855072,0.876847,0.796875,0.734884,0.635417,0.346341,0.885714,0.816425,0.408602]
predictive_accuracy
0.7345
prior_entropy
3.321928
recall
0.7345 [0.895,0.885,0.89,0.765,0.79,0.61,0.355,0.93,0.845,0.38]
relative_absolute_error
0.296457
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.202706
root_relative_squared_error
0.675688
scimark_benchmark
1980.8107992920181 [ 1227.9061859872404, 1607.1351179877536, 911.1089362303595, 1686.8983051584405, 4471.005451096297 ]
total_cost
0
area_under_roc_curve
0.935583 [0.973333,0.994444,0.994722,0.925,0.985833,0.892222,0.846389,0.985417,0.883611,0.874861]
area_under_roc_curve
0.962264 [1,0.996389,0.991111,0.956806,0.988611,0.935972,0.915694,0.970139,0.9675,0.900417]
area_under_roc_curve
0.965486 [0.999167,0.962222,0.968472,0.976667,0.985556,0.970278,0.91625,0.996111,0.970556,0.909583]
area_under_roc_curve
0.951847 [0.946111,0.998611,0.997222,0.9875,0.979167,0.92875,0.884722,1,0.9425,0.853889]
area_under_roc_curve
0.962292 [0.999444,0.995,0.996944,0.960417,0.979167,0.939444,0.888194,0.970139,0.990278,0.903889]
area_under_roc_curve
0.944889 [0.973472,0.964444,0.971389,0.970833,0.979861,0.910278,0.871389,0.989861,0.944722,0.872639]
area_under_roc_curve
0.957319 [0.973472,0.995278,0.996111,0.936944,0.991111,0.90625,0.912639,0.993333,0.968611,0.899444]
area_under_roc_curve
0.958042 [0.996944,0.991806,0.971667,0.979167,0.981667,0.956806,0.87,0.999167,0.938333,0.894861]
area_under_roc_curve
0.957819 [0.970556,0.995833,0.9875,0.958056,0.9825,0.935417,0.884722,0.971111,0.965,0.9275]
area_under_roc_curve
0.926292 [0.9725,0.999444,0.964167,0.971389,0.931111,0.876389,0.779306,0.998056,0.956806,0.81375]
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
0.207
build_cpu_time
0.218
build_cpu_time
0.195
build_cpu_time
0.197
build_cpu_time
0.195
build_cpu_time
0.194
build_cpu_time
0.195
build_cpu_time
0.197
build_cpu_time
0.197
build_cpu_time
0.194
f_measure
0.695435 [0.857143,0.883721,0.95,0.742857,0.780488,0.577778,0.216216,0.837209,0.736842,0.372093]
f_measure
0.779499 [0.974359,0.9,0.842105,0.842105,0.878049,0.7,0.342857,0.926829,0.878049,0.510638]
f_measure
0.76448 [0.918919,0.842105,0.842105,0.85,0.818182,0.682927,0.358974,0.926829,0.904762,0.5]
f_measure
0.739316 [0.894737,0.904762,0.857143,0.8,0.75,0.604651,0.35,1,0.810811,0.421053]
f_measure
0.735472 [0.974359,0.878049,0.930233,0.682927,0.769231,0.634146,0.380952,0.894737,0.857143,0.352941]
f_measure
0.694452 [0.95,0.829268,0.904762,0.761905,0.780488,0.634146,0.216216,0.829268,0.833333,0.205128]
f_measure
0.781885 [0.947368,0.842105,0.9,0.85,0.818182,0.647059,0.511628,0.952381,0.863636,0.486486]
f_measure
0.720322 [0.95,0.829268,0.923077,0.685714,0.697674,0.594595,0.416667,0.952381,0.820513,0.333333]
f_measure
0.742251 [0.923077,0.871795,0.829268,0.818182,0.73913,0.628571,0.571429,0.878049,0.818182,0.344828]
f_measure
0.665116 [0.947368,0.909091,0.85,0.756757,0.555556,0.514286,0.095238,0.878049,0.772727,0.372093]
kappa
0.661111
kappa
0.755556
kappa
0.738889
kappa
0.711111
kappa
0.711111
kappa
0.666667
kappa
0.761111
kappa
0.688889
kappa
0.727778
kappa
0.627778
kb_relative_information_score
145.495716
kb_relative_information_score
160.80933
kb_relative_information_score
157.86984
kb_relative_information_score
153.605229
kb_relative_information_score
153.160725
kb_relative_information_score
143.403457
kb_relative_information_score
162.149494
kb_relative_information_score
150.283433
kb_relative_information_score
152.361316
kb_relative_information_score
136.968701
mean_absolute_error
0.059776
mean_absolute_error
0.045196
mean_absolute_error
0.047997
mean_absolute_error
0.051761
mean_absolute_error
0.052719
mean_absolute_error
0.059083
mean_absolute_error
0.044038
mean_absolute_error
0.054835
mean_absolute_error
0.052612
mean_absolute_error
0.065604
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
0.706817 [1,0.826087,0.95,0.866667,0.761905,0.52,0.235294,0.782609,0.777778,0.347826]
precision
0.784127 [1,0.9,0.888889,0.888889,0.857143,0.7,0.4,0.904762,0.857143,0.444444]
precision
0.768126 [1,0.888889,0.888889,0.85,0.75,0.666667,0.368421,0.904762,0.863636,0.5]
precision
0.741828 [0.944444,0.863636,0.818182,0.8,0.75,0.565217,0.35,1,0.882353,0.444444]
precision
0.735673 [1,0.857143,0.869565,0.666667,0.789474,0.619048,0.363636,0.944444,0.818182,0.428571]
precision
0.692423 [0.95,0.809524,0.863636,0.727273,0.761905,0.619048,0.235294,0.809524,0.9375,0.210526]
precision
0.788303 [1,0.888889,0.9,0.85,0.75,0.785714,0.478261,0.909091,0.791667,0.529412]
precision
0.728946 [0.95,0.809524,0.947368,0.8,0.652174,0.647059,0.357143,0.909091,0.842105,0.375]
precision
0.749696 [0.947368,0.894737,0.809524,0.75,0.653846,0.733333,0.545455,0.857143,0.75,0.555556]
precision
0.673607 [1,0.833333,0.85,0.823529,0.625,0.6,0.090909,0.857143,0.708333,0.347826]
predictive_accuracy
0.695
predictive_accuracy
0.78
predictive_accuracy
0.765
predictive_accuracy
0.74
predictive_accuracy
0.74
predictive_accuracy
0.7
predictive_accuracy
0.785
predictive_accuracy
0.72
predictive_accuracy
0.755
predictive_accuracy
0.665
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
0.695 [0.75,0.95,0.95,0.65,0.8,0.65,0.2,0.9,0.7,0.4]
recall
0.78 [0.95,0.9,0.8,0.8,0.9,0.7,0.3,0.95,0.9,0.6]
recall
0.765 [0.85,0.8,0.8,0.85,0.9,0.7,0.35,0.95,0.95,0.5]
recall
0.74 [0.85,0.95,0.9,0.8,0.75,0.65,0.35,1,0.75,0.4]
recall
0.74 [0.95,0.9,1,0.7,0.75,0.65,0.4,0.85,0.9,0.3]
recall
0.7 [0.95,0.85,0.95,0.8,0.8,0.65,0.2,0.85,0.75,0.2]
recall
0.785 [0.9,0.8,0.9,0.85,0.9,0.55,0.55,1,0.95,0.45]
recall
0.72 [0.95,0.85,0.9,0.6,0.75,0.55,0.5,1,0.8,0.3]
recall
0.755 [0.9,0.85,0.85,0.9,0.85,0.55,0.6,0.9,0.9,0.25]
recall
0.665 [0.9,1,0.85,0.7,0.5,0.45,0.1,0.9,0.85,0.4]
relative_absolute_error
0.332091
relative_absolute_error
0.251087
relative_absolute_error
0.266653
relative_absolute_error
0.287563
relative_absolute_error
0.292886
relative_absolute_error
0.328239
relative_absolute_error
0.244655
relative_absolute_error
0.304641
relative_absolute_error
0.292288
relative_absolute_error
0.364466
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
0.215844
root_mean_squared_error
0.182696
root_mean_squared_error
0.188736
root_mean_squared_error
0.201469
root_mean_squared_error
0.198047
root_mean_squared_error
0.218386
root_mean_squared_error
0.179092
root_mean_squared_error
0.204761
root_mean_squared_error
0.201855
root_mean_squared_error
0.230349
root_relative_squared_error
0.71948
root_relative_squared_error
0.608986
root_relative_squared_error
0.62912
root_relative_squared_error
0.671563
root_relative_squared_error
0.660157
root_relative_squared_error
0.727953
root_relative_squared_error
0.596973
root_relative_squared_error
0.682536
root_relative_squared_error
0.672848
root_relative_squared_error
0.767829
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