Task
Supervised Classification on schlvote

Supervised Classification on schlvote

Task 3713 Supervised Classification schlvote 523 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.7368, kappa: 0.3214, kb_relative_information_score: 7.4408, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7368, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4964, root_relative_squared_error: 1.1268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5786, f_measure: 0.7926, kappa: 0.434, kb_relative_information_score: 12.049, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.8134, predictive_accuracy: 0.8158, prior_entropy: 0.8485, recall: 0.8158, relative_absolute_error: 0.6859, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.399, root_relative_squared_error: 0.9057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.6656, kappa: 0.0865, kb_relative_information_score: 1.1374, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.6842, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 0.9304, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.433, root_relative_squared_error: 0.9829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.6932, kappa: 0.1593, kb_relative_information_score: 9.8416, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.695, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.513, root_relative_squared_error: 1.1645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.7483, kappa: 0.3241, kb_relative_information_score: 7.2405, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7446, predictive_accuracy: 0.7632, prior_entropy: 0.8485, recall: 0.7632, relative_absolute_error: 0.7688, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.9777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6571, f_measure: 0.6487, kappa: 0.0369, kb_relative_information_score: 6.1477, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.6351, predictive_accuracy: 0.7105, prior_entropy: 0.8485, recall: 0.7105, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.44, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, f_measure: 0.8519, kappa: 0.5957, kb_relative_information_score: 17.9102, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.8884, predictive_accuracy: 0.8684, prior_entropy: 0.8485, recall: 0.8684, relative_absolute_error: 0.5405, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.7692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5679, f_measure: 0.5082, kappa: -0.3053, kb_relative_information_score: -4.1763, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.4912, predictive_accuracy: 0.5263, prior_entropy: 0.8485, recall: 0.5263, relative_absolute_error: 1.0129, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4714, f_measure: 0.6252, kb_relative_information_score: -0.2513, mean_absolute_error: 0.3943, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4408, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4429, f_measure: 0.6121, kappa: -0.0503, kb_relative_information_score: -0.9785, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5377, predictive_accuracy: 0.7105, prior_entropy: 0.8485, recall: 0.7105, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4779, root_relative_squared_error: 1.0849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6393, f_measure: 0.7926, kappa: 0.434, kb_relative_information_score: 11.1484, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.8134, predictive_accuracy: 0.8158, prior_entropy: 0.8485, recall: 0.8158, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.9064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4714, f_measure: 0.6252, kb_relative_information_score: -0.2513, mean_absolute_error: 0.3943, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4408, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.6721, kappa: 0.1298, kb_relative_information_score: 1.3131, mean_absolute_error: 0.3544, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.6636, predictive_accuracy: 0.6842, prior_entropy: 0.8485, recall: 0.6842, relative_absolute_error: 0.9009, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4653, root_relative_squared_error: 1.0564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7054, f_measure: 0.8361, kappa: 0.5649, kb_relative_information_score: 20.1313, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.836, predictive_accuracy: 0.8421, prior_entropy: 0.8485, recall: 0.8421, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.381, root_relative_squared_error: 0.8649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3607, f_measure: 0.5074, kappa: -0.2491, kb_relative_information_score: -15.5054, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5152, predictive_accuracy: 0.5, prior_entropy: 0.8485, recall: 0.5, relative_absolute_error: 1.2621, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.5757, root_relative_squared_error: 1.3069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5714, f_measure: 0.6252, kb_relative_information_score: -12.0431, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 1.1371, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.473, root_relative_squared_error: 1.0737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5714, f_measure: 0.6252, kb_relative_information_score: -12.0431, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 1.1371, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.473, root_relative_squared_error: 1.0737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6536, f_measure: 0.6553, kappa: 0.0656, kb_relative_information_score: -1.461, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.6404, predictive_accuracy: 0.6842, prior_entropy: 0.8485, recall: 0.6842, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4418, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.6121, kappa: -0.0503, kb_relative_information_score: -1.733, mean_absolute_error: 0.3933, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5377, predictive_accuracy: 0.7105, prior_entropy: 0.8485, recall: 0.7105, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4495, root_relative_squared_error: 1.0204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6214, f_measure: 0.6519, kappa: 0.0886, kb_relative_information_score: -2.2641, mean_absolute_error: 0.3764, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.6467, predictive_accuracy: 0.6579, prior_entropy: 0.8485, recall: 0.6579, relative_absolute_error: 0.9567, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4496, root_relative_squared_error: 1.0207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6232, f_measure: 0.6252, kb_relative_information_score: 8.9704, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 0.7157, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4597, root_relative_squared_error: 1.0436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6536, f_measure: 0.8519, kappa: 0.5957, kb_relative_information_score: 12.4441, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.8884, predictive_accuracy: 0.8684, prior_entropy: 0.8485, recall: 0.8684, relative_absolute_error: 0.694, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.8483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7054, f_measure: 0.7545, kappa: 0.3274, kb_relative_information_score: 6.8089, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7825, predictive_accuracy: 0.7895, prior_entropy: 0.8485, recall: 0.7895, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.9025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4714, f_measure: 0.6252, kb_relative_information_score: -0.2513, mean_absolute_error: 0.3943, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4408, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5321, f_measure: 0.5987, kappa: -0.0962, kb_relative_information_score: -0.1352, mean_absolute_error: 0.3752, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5322, predictive_accuracy: 0.6842, prior_entropy: 0.8485, recall: 0.6842, relative_absolute_error: 0.9536, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4594, root_relative_squared_error: 1.0428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7625, f_measure: 0.7926, kappa: 0.434, kb_relative_information_score: 12.1277, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.8134, predictive_accuracy: 0.8158, prior_entropy: 0.8485, recall: 0.8158, relative_absolute_error: 0.6626, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.8549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.8276, kappa: 0.5328, kb_relative_information_score: 8.9555, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.841, predictive_accuracy: 0.8421, prior_entropy: 0.8485, recall: 0.8421, relative_absolute_error: 0.7288, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.9011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5982, f_measure: 0.8159, kappa: 0.4956, kb_relative_information_score: 14.7816, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.87, predictive_accuracy: 0.8421, prior_entropy: 0.8485, recall: 0.8421, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.8339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5161, f_measure: 0.5255, kappa: -0.1108, kb_relative_information_score: -7.1782, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5652, predictive_accuracy: 0.5, prior_entropy: 0.8485, recall: 0.5, relative_absolute_error: 1.0559, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.5525, root_relative_squared_error: 1.2542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.7483, kappa: 0.3241, kb_relative_information_score: 7.3029, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7446, predictive_accuracy: 0.7632, prior_entropy: 0.8485, recall: 0.7632, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.8728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5161, f_measure: 0.4678, kappa: -0.2997, kb_relative_information_score: -6.8366, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.4918, predictive_accuracy: 0.4474, prior_entropy: 0.8485, recall: 0.4474, relative_absolute_error: 1.0433, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.2393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6252, kb_relative_information_score: 9.8416, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.513, root_relative_squared_error: 1.1645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5982, f_measure: 0.8159, kappa: 0.4956, kb_relative_information_score: 14.7816, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.87, predictive_accuracy: 0.8421, prior_entropy: 0.8485, recall: 0.8421, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.8339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6252, kb_relative_information_score: 9.8416, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.513, root_relative_squared_error: 1.1645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7179, f_measure: 0.7368, kappa: 0.3214, kb_relative_information_score: 1.7506, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7368, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 0.8831, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4447, root_relative_squared_error: 1.0096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.759, kappa: 0.369, kb_relative_information_score: 7.4932, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.756, predictive_accuracy: 0.7632, prior_entropy: 0.8485, recall: 0.7632, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6252, kb_relative_information_score: 9.8416, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.513, root_relative_squared_error: 1.1645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5964, f_measure: 0.5185, kappa: -0.1759, kb_relative_information_score: -4.012, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5415, predictive_accuracy: 0.5, prior_entropy: 0.8485, recall: 0.5, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4901, root_relative_squared_error: 1.1127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5161, f_measure: 0.4678, kappa: -0.2997, kb_relative_information_score: -6.8366, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.4918, predictive_accuracy: 0.4474, prior_entropy: 0.8485, recall: 0.4474, relative_absolute_error: 1.0433, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.2393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4786, f_measure: 0.6252, kb_relative_information_score: 0.9192, mean_absolute_error: 0.3829, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 0.9733, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.441, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6696, f_measure: 0.8159, kappa: 0.4956, kb_relative_information_score: 8.1318, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.87, predictive_accuracy: 0.8421, prior_entropy: 0.8485, recall: 0.8421, relative_absolute_error: 0.7559, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.9192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.7212, kappa: 0.3192, kb_relative_information_score: 7.0999, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7404, predictive_accuracy: 0.7105, prior_entropy: 0.8485, recall: 0.7105, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.538, root_relative_squared_error: 1.2214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6252, kb_relative_information_score: 9.8416, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.513, root_relative_squared_error: 1.1645, scimark_benchmark: 1959.6455, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6252, kb_relative_information_score: 9.8416, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.513, root_relative_squared_error: 1.1645, scimark_benchmark: 1959.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.575, f_measure: 0.7483, kappa: 0.3241, kb_relative_information_score: 9.9882, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7446, predictive_accuracy: 0.7632, prior_entropy: 0.8485, recall: 0.7632, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.0635, scimark_benchmark: 1410.5314, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6252, kb_relative_information_score: 9.8416, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.513, root_relative_squared_error: 1.1645, scimark_benchmark: 1646.1109, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6252, kb_relative_information_score: 9.8416, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.513, root_relative_squared_error: 1.1645, scimark_benchmark: 1369.3005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7036, f_measure: 0.7268, kappa: 0.2748, kb_relative_information_score: 9.7677, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7211, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 0.6797, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0776, scimark_benchmark: 1908.2191, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4321, f_measure: 0.4802, kappa: -0.1053, kb_relative_information_score: -20.3169, mean_absolute_error: 0.5526, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5596, predictive_accuracy: 0.4474, prior_entropy: 0.8485, recall: 0.4474, relative_absolute_error: 1.4047, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.7434, root_relative_squared_error: 1.6876, scimark_benchmark: 1827.4462, usercpu_time_millis: 310468.75, usercpu_time_millis_training: 310468.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6714, f_measure: 0.7814, kappa: 0.4198, kb_relative_information_score: 10.1956, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7785, predictive_accuracy: 0.7895, prior_entropy: 0.8485, recall: 0.7895, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4348, root_relative_squared_error: 0.987, scimark_benchmark: 1369.123, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7814, kappa: 0.4198, kb_relative_information_score: 12.8238, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7785, predictive_accuracy: 0.7895, prior_entropy: 0.8485, recall: 0.7895, relative_absolute_error: 0.6364, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.8931, scimark_benchmark: 1060.9535,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5161, f_measure: 0.4678, kappa: -0.2997, kb_relative_information_score: -6.8366, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.4918, predictive_accuracy: 0.4474, prior_entropy: 0.8485, recall: 0.4474, relative_absolute_error: 1.0433, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.2393, scimark_benchmark: 1297.7638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, f_measure: 0.7814, kappa: 0.4198, kb_relative_information_score: 10.5661, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7785, predictive_accuracy: 0.7895, prior_entropy: 0.8485, recall: 0.7895, relative_absolute_error: 0.6777, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9772, scimark_benchmark: 1223.5356, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, f_measure: 0.7483, kappa: 0.3241, kb_relative_information_score: 6.7723, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7446, predictive_accuracy: 0.7632, prior_entropy: 0.8485, recall: 0.7632, relative_absolute_error: 0.7679, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.9992, scimark_benchmark: 1144.4614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6553, kappa: 0.0656, kb_relative_information_score: 3.6903, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.6404, predictive_accuracy: 0.6842, prior_entropy: 0.8485, recall: 0.6842, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.5469, root_relative_squared_error: 1.2415, scimark_benchmark: 1338.7393, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7179, f_measure: 0.7895, kappa: 0.4571, kb_relative_information_score: 14.3831, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7895, predictive_accuracy: 0.7895, prior_entropy: 0.8485, recall: 0.7895, relative_absolute_error: 0.5615, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4513, root_relative_squared_error: 1.0245, scimark_benchmark: 1290.9818, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6536, f_measure: 0.8159, kappa: 0.4956, kb_relative_information_score: 15.5284, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.87, predictive_accuracy: 0.8421, prior_entropy: 0.8485, recall: 0.8421, relative_absolute_error: 0.5944, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.8563, scimark_benchmark: 722.3049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6252, kb_relative_information_score: 9.8416, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.513, root_relative_squared_error: 1.1645, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.7325, kappa: 0.2692, kb_relative_information_score: 15.3249, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.8363, predictive_accuracy: 0.7895, prior_entropy: 0.8485, recall: 0.7895, relative_absolute_error: 0.5351, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4588, root_relative_squared_error: 1.0416, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6179, f_measure: 0.7325, kappa: 0.2692, kb_relative_information_score: 7.9466, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.8363, predictive_accuracy: 0.7895, prior_entropy: 0.8485, recall: 0.7895, relative_absolute_error: 0.7941, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.9186, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7036, f_measure: 0.7814, kappa: 0.4198, kb_relative_information_score: 7.5296, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7785, predictive_accuracy: 0.7895, prior_entropy: 0.8485, recall: 0.7895, relative_absolute_error: 0.7645, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.9097, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4714, f_measure: 0.6252, kb_relative_information_score: -0.2513, mean_absolute_error: 0.3943, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4408, root_relative_squared_error: 1.0006, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5982, f_measure: 0.8159, kappa: 0.4956, kb_relative_information_score: 14.7816, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.87, predictive_accuracy: 0.8421, prior_entropy: 0.8485, recall: 0.8421, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.8339, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5161, f_measure: 0.4678, kappa: -0.2997, kb_relative_information_score: -6.8366, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.4918, predictive_accuracy: 0.4474, prior_entropy: 0.8485, recall: 0.4474, relative_absolute_error: 1.0433, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.2393, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6252, kb_relative_information_score: 9.8416, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.513, root_relative_squared_error: 1.1645, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.7325, kappa: 0.2692, kb_relative_information_score: 15.3249, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.8363, predictive_accuracy: 0.7895, prior_entropy: 0.8485, recall: 0.7895, relative_absolute_error: 0.5351, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4588, root_relative_squared_error: 1.0416, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, f_measure: 0.7814, kappa: 0.4198, kb_relative_information_score: 10.5661, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7785, predictive_accuracy: 0.7895, prior_entropy: 0.8485, recall: 0.7895, relative_absolute_error: 0.6777, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9772, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, f_measure: 0.7483, kappa: 0.3241, kb_relative_information_score: 6.7723, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7446, predictive_accuracy: 0.7632, prior_entropy: 0.8485, recall: 0.7632, relative_absolute_error: 0.7679, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.9992, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6553, kappa: 0.0656, kb_relative_information_score: 3.6903, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.6404, predictive_accuracy: 0.6842, prior_entropy: 0.8485, recall: 0.6842, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.5469, root_relative_squared_error: 1.2415, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7179, f_measure: 0.7895, kappa: 0.4571, kb_relative_information_score: 14.3831, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7895, predictive_accuracy: 0.7895, prior_entropy: 0.8485, recall: 0.7895, relative_absolute_error: 0.5615, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4513, root_relative_squared_error: 1.0245, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6536, f_measure: 0.8159, kappa: 0.4956, kb_relative_information_score: 15.5284, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.87, predictive_accuracy: 0.8421, prior_entropy: 0.8485, recall: 0.8421, relative_absolute_error: 0.5944, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.8563, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6179, f_measure: 0.7325, kappa: 0.2692, kb_relative_information_score: 7.9466, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.8363, predictive_accuracy: 0.7895, prior_entropy: 0.8485, recall: 0.7895, relative_absolute_error: 0.7941, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.9186, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7036, f_measure: 0.7814, kappa: 0.4198, kb_relative_information_score: 7.5296, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7785, predictive_accuracy: 0.7895, prior_entropy: 0.8485, recall: 0.7895, relative_absolute_error: 0.7645, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.9097, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4714, f_measure: 0.6252, kb_relative_information_score: -0.2513, mean_absolute_error: 0.3943, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4408, root_relative_squared_error: 1.0006, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5982, f_measure: 0.8159, kappa: 0.4956, kb_relative_information_score: 14.7816, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.87, predictive_accuracy: 0.8421, prior_entropy: 0.8485, recall: 0.8421, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.8339, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, f_measure: 0.7483, kappa: 0.3241, kb_relative_information_score: 6.7723, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7446, predictive_accuracy: 0.7632, prior_entropy: 0.8485, recall: 0.7632, relative_absolute_error: 0.7679, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.9992, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, f_measure: 0.7814, kappa: 0.4198, kb_relative_information_score: 10.5664, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7785, predictive_accuracy: 0.7895, prior_entropy: 0.8485, recall: 0.7895, relative_absolute_error: 0.6777, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.9772, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7179, f_measure: 0.7895, kappa: 0.4571, kb_relative_information_score: 14.3831, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7895, predictive_accuracy: 0.7895, prior_entropy: 0.8485, recall: 0.7895, relative_absolute_error: 0.5615, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4513, root_relative_squared_error: 1.0245, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7179, f_measure: 0.7895, kappa: 0.4571, kb_relative_information_score: 14.3831, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7895, predictive_accuracy: 0.7895, prior_entropy: 0.8485, recall: 0.7895, relative_absolute_error: 0.5615, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4513, root_relative_squared_error: 1.0245, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6054, f_measure: 0.7148, kappa: 0.2768, kb_relative_information_score: 8.3451, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.72, predictive_accuracy: 0.7105, prior_entropy: 0.8485, recall: 0.7105, relative_absolute_error: 0.6984, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.5129, root_relative_squared_error: 1.1644, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6286, f_measure: 0.8519, kappa: 0.5957, kb_relative_information_score: 16.868, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.8884, predictive_accuracy: 0.8684, prior_entropy: 0.8485, recall: 0.8684, relative_absolute_error: 0.577, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.7864, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, f_measure: 0.8602, kappa: 0.6245, kb_relative_information_score: 15.6664, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.8673, predictive_accuracy: 0.8684, prior_entropy: 0.8485, recall: 0.8684, relative_absolute_error: 0.594, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.345, root_relative_squared_error: 0.7831, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7764, kappa: 0.3871, kb_relative_information_score: 8.0925, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.8526, predictive_accuracy: 0.8158, prior_entropy: 0.8485, recall: 0.8158, relative_absolute_error: 0.7719, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.8795, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6252, kb_relative_information_score: 9.8416, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.513, root_relative_squared_error: 1.1645, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6252, kb_relative_information_score: 9.8416, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.513, root_relative_squared_error: 1.1645, scimark_benchmark: 1485.4808, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, f_measure: 0.8519, kappa: 0.5957, kb_relative_information_score: 17.9102, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.8884, predictive_accuracy: 0.8684, prior_entropy: 0.8485, recall: 0.8684, relative_absolute_error: 0.5405, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.7692, scimark_benchmark: 928.354, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7446, f_measure: 0.6252, kb_relative_information_score: 7.4757, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.9212, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.7764, kappa: 0.3871, kb_relative_information_score: 9.7879, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.8526, predictive_accuracy: 0.8158, prior_entropy: 0.8485, recall: 0.8158, relative_absolute_error: 0.6535, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.9491, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5804, f_measure: 0.6656, kappa: 0.0865, kb_relative_information_score: 6.3244, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.6842, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 0.751, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4684, root_relative_squared_error: 1.0632, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5054, f_measure: 0.6252, kb_relative_information_score: -1.5669, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 0.9916, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4581, root_relative_squared_error: 1.0399, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.8519, kappa: 0.5957, kb_relative_information_score: 13.8671, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.8884, predictive_accuracy: 0.8684, prior_entropy: 0.8485, recall: 0.8684, relative_absolute_error: 0.623, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.361, root_relative_squared_error: 0.8195, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5321, f_measure: 0.5987, kappa: -0.0962, kb_relative_information_score: -0.1352, mean_absolute_error: 0.3752, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5322, predictive_accuracy: 0.6842, prior_entropy: 0.8485, recall: 0.6842, relative_absolute_error: 0.9536, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4594, root_relative_squared_error: 1.0428, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6252, kb_relative_information_score: 9.8416, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.513, root_relative_squared_error: 1.1645, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.7325, kappa: 0.2692, kb_relative_information_score: 15.3249, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.8363, predictive_accuracy: 0.7895, prior_entropy: 0.8485, recall: 0.7895, relative_absolute_error: 0.5351, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4588, root_relative_squared_error: 1.0416, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6036, f_measure: 0.7325, kappa: 0.2692, kb_relative_information_score: 8.4875, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.8363, predictive_accuracy: 0.7895, prior_entropy: 0.8485, recall: 0.7895, relative_absolute_error: 0.7772, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.9222, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6179, f_measure: 0.7325, kappa: 0.2692, kb_relative_information_score: 7.9466, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.8363, predictive_accuracy: 0.7895, prior_entropy: 0.8485, recall: 0.7895, relative_absolute_error: 0.7941, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.9186, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5732, f_measure: 0.6252, kb_relative_information_score: 1.7096, mean_absolute_error: 0.3744, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 0.9516, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.9757, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4714, f_measure: 0.6252, kb_relative_information_score: -0.2513, mean_absolute_error: 0.3943, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4408, root_relative_squared_error: 1.0006, scimark_benchmark: 1870.7932,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs