2347609
1856
Miguel Cachada
14
Supervised Classification
6073
weka.AttributeSelectedClassifier_IBk(2)
216448
weka.classifiers.meta.AttributeSelectedClassifier -- -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W weka.classifiers.lazy.IBk -- -K 1 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
I
true
5918
K
1
5918
W
0
5918
A
true
5918
E
weka.attributeSelection.CfsSubsetEval -P 1 -E 1
6073
S
weka.attributeSelection.BestFirst -D 1 -N 5
6073
W
weka.classifiers.lazy.IBk
6073
study_70
weka
weka_3.8.1
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
5654963
description
https://www.openml.org/data/download/5654963/weka_generated_run354709896116943089.xml
-1
5654965
model_readable
https://www.openml.org/data/download/5654965/WekaModel_weka.classifiers.meta.AttributeSelectedClassifier2522213587598091173.model
-1
5654964
model_serialized
https://www.openml.org/data/download/5654964/WekaSerialized_weka.classifiers.meta.AttributeSelectedClassifier954084568422350981.model
-1
5654966
predictions
https://www.openml.org/data/download/5654966/weka_generated_predictions4970414735863420583.arff
area_under_roc_curve
0.916981 [1,0.918462,0.98336,0.985978,0.959986,0.990743,0.685586,0.938647,0.9974,0.709644]
average_cost
0
f_measure
0.832385 [1,0.819512,0.962217,0.927835,0.882206,0.927083,0.45614,0.883495,0.977556,0.487805]
kappa
0.812222
kb_relative_information_score
1646.195487
mean_absolute_error
0.033878
mean_prior_absolute_error
0.18
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.83459 [1,0.8,0.969543,0.957447,0.884422,0.967391,0.457286,0.858491,0.975124,0.47619]
predictive_accuracy
0.831
prior_entropy
3.321928
recall
0.831 [1,0.84,0.955,0.9,0.88,0.89,0.455,0.91,0.98,0.5]
relative_absolute_error
0.188211
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.183795
root_relative_squared_error
0.612649
total_cost
0
area_under_roc_curve
0.918194 [1,0.96875,0.9975,0.963194,0.954722,0.98,0.731111,0.874444,1,0.712222]
area_under_roc_curve
0.921194 [1,0.910139,0.973056,0.974167,0.96625,0.996944,0.702083,0.94375,0.994028,0.751528]
area_under_roc_curve
0.915833 [1,0.939028,1,0.986389,0.995556,0.988056,0.624306,0.951111,1,0.673889]
area_under_roc_curve
0.940236 [1,0.924861,0.981389,0.999444,0.985,0.996667,0.725833,0.9925,0.999444,0.797222]
area_under_roc_curve
0.892583 [1,0.768611,0.980556,0.977222,0.98375,0.989444,0.619167,0.906528,1,0.700556]
area_under_roc_curve
0.925333 [1,0.907222,1,0.983333,0.983611,0.990139,0.716389,0.930694,1,0.741944]
area_under_roc_curve
0.917236 [1,0.917361,0.938194,0.999167,0.963333,0.985833,0.768056,0.933472,1,0.666944]
area_under_roc_curve
0.919583 [1,0.944861,0.969028,0.996667,0.8975,1,0.75,0.929444,0.989306,0.719028]
area_under_roc_curve
0.929722 [1,0.964861,1,1,0.983889,0.985556,0.700694,0.959861,1,0.702361]
area_under_roc_curve
0.891833 [1,0.941667,0.995139,0.985,0.880556,0.998611,0.529722,0.966111,0.994861,0.626667]
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
0.810002 [1,0.844444,0.952381,0.888889,0.829268,0.947368,0.324324,0.894737,1,0.418605]
f_measure
0.831991 [1,0.871795,0.923077,0.974359,0.818182,0.894737,0.461538,0.878049,0.974359,0.52381]
f_measure
0.849107 [1,0.85,1,0.947368,0.909091,0.923077,0.45,0.95,1,0.461538]
f_measure
0.867037 [1,0.894737,0.974359,0.930233,0.974359,0.918919,0.536585,0.930233,0.974359,0.536585]
f_measure
0.789212 [1,0.666667,0.974359,0.810811,0.9,0.9,0.378378,0.809524,0.952381,0.5]
f_measure
0.85077 [1,0.809524,1,0.842105,0.871795,0.923077,0.564103,0.878049,1,0.619048]
f_measure
0.835444 [1,0.790698,0.947368,0.97561,0.894737,0.918919,0.545455,0.837209,1,0.444444]
f_measure
0.866173 [1,0.790698,0.95,0.974359,0.894737,0.974359,0.615385,0.878049,0.95,0.634146]
f_measure
0.8432 [1,0.829268,1,1,0.871795,0.888889,0.439024,0.926829,1,0.47619]
f_measure
0.778146 [1,0.85,0.9,0.918919,0.864865,0.97561,0.238095,0.857143,0.926829,0.25]
kappa
0.788889
kappa
0.811111
kappa
0.833333
kappa
0.85
kappa
0.766667
kappa
0.833333
kappa
0.816667
kappa
0.85
kappa
0.822222
kappa
0.75
kb_relative_information_score
160.228758
kb_relative_information_score
164.413165
kb_relative_information_score
168.593405
kb_relative_information_score
171.728194
kb_relative_information_score
156.046539
kb_relative_information_score
168.591373
kb_relative_information_score
165.454685
kb_relative_information_score
171.729108
kb_relative_information_score
166.501359
kb_relative_information_score
152.908902
mean_absolute_error
0.038075
mean_absolute_error
0.034072
mean_absolute_error
0.030078
mean_absolute_error
0.027084
mean_absolute_error
0.042073
mean_absolute_error
0.030083
mean_absolute_error
0.033081
mean_absolute_error
0.027082
mean_absolute_error
0.032079
mean_absolute_error
0.045074
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
0.81673 [1,0.76,0.909091,1,0.809524,1,0.352941,0.944444,1,0.391304]
precision
0.836738 [1,0.894737,0.947368,1,0.75,0.944444,0.473684,0.857143,1,0.5]
precision
0.850439 [1,0.85,1,1,0.833333,0.947368,0.45,0.95,1,0.473684]
precision
0.873119 [1,0.944444,1,0.869565,1,1,0.52381,0.869565,1,0.52381]
precision
0.791848 [1,0.684211,1,0.882353,0.9,0.9,0.411765,0.772727,0.909091,0.458333]
precision
0.853072 [1,0.772727,1,0.888889,0.894737,0.947368,0.578947,0.857143,1,0.590909]
precision
0.841856 [1,0.73913,1,0.952381,0.944444,1,0.5,0.782609,1,0.5]
precision
0.869134 [1,0.73913,0.95,1,0.944444,1,0.631579,0.857143,0.95,0.619048]
precision
0.849214 [1,0.809524,1,1,0.894737,1,0.428571,0.904762,1,0.454545]
precision
0.784377 [1,0.85,0.9,1,0.941176,0.952381,0.227273,0.818182,0.904762,0.25]
predictive_accuracy
0.81
predictive_accuracy
0.83
predictive_accuracy
0.85
predictive_accuracy
0.865
predictive_accuracy
0.79
predictive_accuracy
0.85
predictive_accuracy
0.835
predictive_accuracy
0.865
predictive_accuracy
0.84
predictive_accuracy
0.775
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 [1,0.95,1,0.8,0.85,0.9,0.3,0.85,1,0.45]
recall
0.83 [1,0.85,0.9,0.95,0.9,0.85,0.45,0.9,0.95,0.55]
recall
0.85 [1,0.85,1,0.9,1,0.9,0.45,0.95,1,0.45]
recall
0.865 [1,0.85,0.95,1,0.95,0.85,0.55,1,0.95,0.55]
recall
0.79 [1,0.65,0.95,0.75,0.9,0.9,0.35,0.85,1,0.55]
recall
0.85 [1,0.85,1,0.8,0.85,0.9,0.55,0.9,1,0.65]
recall
0.835 [1,0.85,0.9,1,0.85,0.85,0.6,0.9,1,0.4]
recall
0.865 [1,0.85,0.95,0.95,0.85,0.95,0.6,0.9,0.95,0.65]
recall
0.84 [1,0.85,1,1,0.85,0.8,0.45,0.95,1,0.5]
recall
0.775 [1,0.85,0.9,0.85,0.8,1,0.25,0.9,0.95,0.25]
relative_absolute_error
0.211526
relative_absolute_error
0.189286
relative_absolute_error
0.1671
relative_absolute_error
0.150465
relative_absolute_error
0.233738
relative_absolute_error
0.167126
relative_absolute_error
0.183785
relative_absolute_error
0.150453
relative_absolute_error
0.178218
relative_absolute_error
0.250409
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
0.194878
root_mean_squared_error
0.18434
root_mean_squared_error
0.173161
root_mean_squared_error
0.164265
root_mean_squared_error
0.204881
root_mean_squared_error
0.173153
root_mean_squared_error
0.181606
root_mean_squared_error
0.164274
root_mean_squared_error
0.17883
root_mean_squared_error
0.212069
root_relative_squared_error
0.649593
root_relative_squared_error
0.614466
root_relative_squared_error
0.577202
root_relative_squared_error
0.54755
root_relative_squared_error
0.682937
root_relative_squared_error
0.577178
root_relative_squared_error
0.605352
root_relative_squared_error
0.547581
root_relative_squared_error
0.5961
root_relative_squared_error
0.706897
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