8882094
710
William Raynaut
146217
Supervised Classification
precision
7839
weka.kf.AttributeSelection-BestFirst-CfsSubsetEval-KStar(1)
6833445
mDataExp
Modelage
study_107
40691
wine-quality-red
https://www.openml.org/data/download/4965268/wine-quality-red.arff
-1
18679932
description
https://api.openml.org/data/download/18679932/description6192929829344739839.xml
-1
18679933
predictions
https://api.openml.org/data/download/18679933/predictions1321083220902472177.arff
area_under_roc_curve
0.857009 [0.779641,0.776734,0.882726,0.821145,0.90544,0.899114]
average_cost
0
f_measure
0.678776 [0,0.059701,0.771509,0.692661,0.564384,0.142857]
kappa
0.506292
kb_relative_information_score
696.494074
mean_absolute_error
0.130725
mean_prior_absolute_error
0.214459
number_of_instances
1599 [10,53,681,638,199,18]
precision
0.670074 [0,0.142857,0.742198,0.676119,0.620482,0.2]
predictive_accuracy
0.692308
prior_entropy
1.717726
recall
0.692308 [0,0.037736,0.803231,0.710031,0.517588,0.111111]
relative_absolute_error
0.609558
root_mean_prior_squared_error
0.327278
root_mean_squared_error
0.267257
root_relative_squared_error
0.816606
total_cost
0
area_under_roc_curve
0.833286 [1,0.645022,0.846707,0.810872,0.901071,0.962264]
area_under_roc_curve
0.872096 [0.874214,0.909091,0.901694,0.825521,0.901456,0.96519]
area_under_roc_curve
0.871385 [0.713836,0.785806,0.899936,0.829427,0.933214,0.917722]
area_under_roc_curve
0.858645 [0.632075,0.806452,0.896579,0.827962,0.851071,0.870253]
area_under_roc_curve
0.898263 [0.792453,0.712258,0.921835,0.881022,0.936429,0.78481]
area_under_roc_curve
0.859016 [0.993711,0.8,0.880754,0.821126,0.910714,0.89557]
area_under_roc_curve
0.848838 [0.981132,0.632258,0.861413,0.824382,0.919286,0.974684]
area_under_roc_curve
0.813567 [0.773585,0.772903,0.857097,0.757161,0.858571,0.810127]
area_under_roc_curve
0.869611 [0.198113,0.872258,0.899029,0.829651,0.918929,0.949367]
area_under_roc_curve
0.856028 [0.987342,0.815904,0.864577,0.81994,0.944604,0.886076]
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
0.651742 [0,0,0.715328,0.681818,0.6,0]
f_measure
0.651265 [0,0,0.769231,0.661157,0.451613,0.5]
f_measure
0.685264 [0,0.333333,0.791367,0.681818,0.526316,0]
f_measure
0.668532 [0,0,0.777778,0.692913,0.486486,0]
f_measure
0.751369 [0,0,0.826087,0.781955,0.7,0]
f_measure
0.711654 [0,0.333333,0.794521,0.738462,0.545455,0]
f_measure
0.682755 [0,0,0.753623,0.686567,0.702703,0]
f_measure
0.601376 [0,0,0.723404,0.585366,0.478261,0]
f_measure
0.683133 [0,0,0.794326,0.695652,0.466667,0.666667]
f_measure
0.693738 [0,0,0.768116,0.710145,0.666667,0]
kappa
0.464783
kappa
0.471242
kappa
0.511557
kappa
0.491462
kappa
0.630439
kappa
0.554543
kappa
0.510245
kappa
0.392529
kappa
0.510672
kappa
0.529041
kb_relative_information_score
68.011985
kb_relative_information_score
70.908967
kb_relative_information_score
73.271674
kb_relative_information_score
66.915665
kb_relative_information_score
77.375412
kb_relative_information_score
72.425967
kb_relative_information_score
70.556793
kb_relative_information_score
56.273243
kb_relative_information_score
69.998135
kb_relative_information_score
70.756232
mean_absolute_error
0.134508
mean_absolute_error
0.131897
mean_absolute_error
0.127597
mean_absolute_error
0.133335
mean_absolute_error
0.119914
mean_absolute_error
0.125985
mean_absolute_error
0.130751
mean_absolute_error
0.145008
mean_absolute_error
0.128706
mean_absolute_error
0.129541
mean_prior_absolute_error
0.2144
mean_prior_absolute_error
0.214635
mean_prior_absolute_error
0.214446
mean_prior_absolute_error
0.214446
mean_prior_absolute_error
0.214446
mean_prior_absolute_error
0.214446
mean_prior_absolute_error
0.214446
mean_prior_absolute_error
0.214446
mean_prior_absolute_error
0.21439
mean_prior_absolute_error
0.214487
number_of_instances
160 [1,6,68,64,20,1]
number_of_instances
160 [1,6,68,64,19,2]
number_of_instances
160 [1,5,68,64,20,2]
number_of_instances
160 [1,5,68,64,20,2]
number_of_instances
160 [1,5,68,64,20,2]
number_of_instances
160 [1,5,68,64,20,2]
number_of_instances
160 [1,5,68,64,20,2]
number_of_instances
160 [1,5,68,64,20,2]
number_of_instances
160 [1,5,69,63,20,2]
number_of_instances
159 [1,6,68,63,20,1]
precision
0.641517 [0,0,0.710145,0.661765,0.6,0]
precision
0.645995 [0,0,0.681818,0.701754,0.583333,0.5]
precision
0.694626 [0,1,0.774648,0.661765,0.555556,0]
precision
0.658699 [0,0,0.736842,0.698413,0.529412,0]
precision
0.735021 [0,0,0.814286,0.753623,0.7,0]
precision
0.724723 [0,1,0.74359,0.727273,0.692308,0]
precision
0.67416 [0,0,0.742857,0.657143,0.764706,0]
precision
0.59387 [0,0,0.69863,0.610169,0.423077,0]
precision
0.687417 [0,0,0.777778,0.64,0.7,1]
precision
0.689112 [0,0,0.757143,0.653333,0.846154,0]
predictive_accuracy
0.6625
predictive_accuracy
0.675
predictive_accuracy
0.69375
predictive_accuracy
0.68125
predictive_accuracy
0.76875
predictive_accuracy
0.725
predictive_accuracy
0.69375
predictive_accuracy
0.6125
predictive_accuracy
0.7
predictive_accuracy
0.710692
prior_entropy
1.717726
prior_entropy
1.717726
prior_entropy
1.717726
prior_entropy
1.717726
prior_entropy
1.717726
prior_entropy
1.717726
prior_entropy
1.717726
prior_entropy
1.717726
prior_entropy
1.717726
prior_entropy
1.717726
recall
0.6625 [0,0,0.720588,0.703125,0.6,0]
recall
0.675 [0,0,0.882353,0.625,0.368421,0.5]
recall
0.69375 [0,0.2,0.808824,0.703125,0.5,0]
recall
0.68125 [0,0,0.823529,0.6875,0.45,0]
recall
0.76875 [0,0,0.838235,0.8125,0.7,0]
recall
0.725 [0,0.2,0.852941,0.75,0.45,0]
recall
0.69375 [0,0,0.764706,0.71875,0.65,0]
recall
0.6125 [0,0,0.75,0.5625,0.55,0]
recall
0.7 [0,0,0.811594,0.761905,0.35,0.5]
recall
0.710692 [0,0,0.779412,0.777778,0.55,0]
relative_absolute_error
0.627367
relative_absolute_error
0.614515
relative_absolute_error
0.59501
relative_absolute_error
0.621766
relative_absolute_error
0.559182
relative_absolute_error
0.587492
relative_absolute_error
0.609714
relative_absolute_error
0.6762
relative_absolute_error
0.600336
relative_absolute_error
0.603956
root_mean_prior_squared_error
0.327189
root_mean_prior_squared_error
0.327548
root_mean_prior_squared_error
0.327258
root_mean_prior_squared_error
0.327258
root_mean_prior_squared_error
0.327258
root_mean_prior_squared_error
0.327258
root_mean_prior_squared_error
0.327258
root_mean_prior_squared_error
0.327258
root_mean_prior_squared_error
0.327173
root_mean_prior_squared_error
0.327321
root_mean_squared_error
0.275909
root_mean_squared_error
0.265961
root_mean_squared_error
0.257617
root_mean_squared_error
0.267713
root_mean_squared_error
0.245847
root_mean_squared_error
0.26575
root_mean_squared_error
0.268592
root_mean_squared_error
0.294469
root_mean_squared_error
0.262959
root_mean_squared_error
0.265132
root_relative_squared_error
0.843272
root_relative_squared_error
0.811977
root_relative_squared_error
0.787199
root_relative_squared_error
0.818049
root_relative_squared_error
0.751232
root_relative_squared_error
0.812048
root_relative_squared_error
0.820733
root_relative_squared_error
0.899805
root_relative_squared_error
0.803732
root_relative_squared_error
0.810005
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