Task
Supervised Classification on haberman

Supervised Classification on haberman

Task 42 Supervised Classification haberman 973 runs submitted
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  • basic ComplexWorkflows mythbusting mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_29 study_30 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6529, f_measure: 0.699, kappa: 0.1808, kb_relative_information_score: 17.5709, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6975, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4436, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6178, f_measure: 0.7016, kappa: 0.2024, kb_relative_information_score: 19.5447, mean_absolute_error: 0.3562, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6936, predictive_accuracy: 0.719, prior_entropy: 0.836, recall: 0.719, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.6346, kappa: 0.0145, kb_relative_information_score: 13.3057, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6304, predictive_accuracy: 0.7255, prior_entropy: 0.836, recall: 0.7255, relative_absolute_error: 0.9494, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.9735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5773, f_measure: 0.7015, kappa: 0.1871, kb_relative_information_score: 79.7448, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7018, predictive_accuracy: 0.7386, prior_entropy: 0.836, recall: 0.7386, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5113, root_relative_squared_error: 1.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6576, f_measure: 0.6903, kappa: 0.1548, kb_relative_information_score: 27.6787, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.697, predictive_accuracy: 0.7386, prior_entropy: 0.836, recall: 0.7386, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.9776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5834, f_measure: 0.7138, kappa: 0.2192, kb_relative_information_score: 22.1446, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7261, predictive_accuracy: 0.7549, prior_entropy: 0.836, recall: 0.7549, relative_absolute_error: 0.9146, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.9826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.657, f_measure: 0.6961, kappa: 0.1712, kb_relative_information_score: 24.547, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6993, predictive_accuracy: 0.7386, prior_entropy: 0.836, recall: 0.7386, relative_absolute_error: 0.8919, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6427, f_measure: 0.6981, kappa: 0.1759, kb_relative_information_score: 32.6748, mean_absolute_error: 0.3454, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7088, predictive_accuracy: 0.7451, prior_entropy: 0.836, recall: 0.7451, relative_absolute_error: 0.8857, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.429, root_relative_squared_error: 0.9723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6261, f_measure: 0.7152, kappa: 0.2472, kb_relative_information_score: 21.8264, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.709, predictive_accuracy: 0.7255, prior_entropy: 0.836, recall: 0.7255, relative_absolute_error: 0.9111, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.9775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6545, f_measure: 0.7138, kappa: 0.2192, kb_relative_information_score: 42.2841, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7261, predictive_accuracy: 0.7549, prior_entropy: 0.836, recall: 0.7549, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.9884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5724, f_measure: 0.6571, kappa: 0.0885, kb_relative_information_score: -5.3862, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6464, predictive_accuracy: 0.6732, prior_entropy: 0.836, recall: 0.6732, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4807, root_relative_squared_error: 1.0895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6179, f_measure: 0.6915, kappa: 0.166, kb_relative_information_score: 23.8614, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6832, predictive_accuracy: 0.719, prior_entropy: 0.836, recall: 0.719, relative_absolute_error: 0.8465, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4784, root_relative_squared_error: 1.0843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6492, f_measure: 0.7185, kappa: 0.2358, kb_relative_information_score: 29.341, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7187, predictive_accuracy: 0.7484, prior_entropy: 0.836, recall: 0.7484, relative_absolute_error: 0.8729, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.9668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.6487, kappa: 0.0461, kb_relative_information_score: 24.1408, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6517, predictive_accuracy: 0.7255, prior_entropy: 0.836, recall: 0.7255, relative_absolute_error: 0.8931, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.7058, kappa: 0.197, kb_relative_information_score: 38.9674, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7206, predictive_accuracy: 0.7516, prior_entropy: 0.836, recall: 0.7516, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.437, root_relative_squared_error: 0.9904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4889, f_measure: 0.6231, kb_relative_information_score: -0.3553, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4412, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.7037, kappa: 0.192, kb_relative_information_score: 33.5527, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.71, predictive_accuracy: 0.7451, prior_entropy: 0.836, recall: 0.7451, relative_absolute_error: 0.8436, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.428, root_relative_squared_error: 0.9701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6176, f_measure: 0.6833, kappa: 0.1359, kb_relative_information_score: 16.5557, mean_absolute_error: 0.3417, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6823, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.8763, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4482, root_relative_squared_error: 1.0158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5799, f_measure: 0.6419, kappa: 0.0402, kb_relative_information_score: 74.6551, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7036, predictive_accuracy: 0.7386, prior_entropy: 0.836, recall: 0.7386, relative_absolute_error: 0.6905, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4898, root_relative_squared_error: 1.1103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6374, f_measure: 0.7089, kappa: 0.2074, kb_relative_information_score: 26.5355, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7116, predictive_accuracy: 0.7451, prior_entropy: 0.836, recall: 0.7451, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.9849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, f_measure: 0.6401, kappa: 0.0337, kb_relative_information_score: 8.2905, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6765, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.9735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4889, f_measure: 0.6231, kb_relative_information_score: -0.3553, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4412, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.6744, kappa: 0.1143, kb_relative_information_score: 12.6485, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6649, predictive_accuracy: 0.7124, prior_entropy: 0.836, recall: 0.7124, relative_absolute_error: 0.8839, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4556, root_relative_squared_error: 1.0327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4889, f_measure: 0.6231, kb_relative_information_score: 0.4989, mean_absolute_error: 0.3893, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4412, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.615, f_measure: 0.6559, kappa: 0.0619, kb_relative_information_score: 16.3597, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6422, predictive_accuracy: 0.7026, prior_entropy: 0.836, recall: 0.7026, relative_absolute_error: 0.8934, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4519, root_relative_squared_error: 1.0244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5704, f_measure: 0.6818, kappa: 0.1344, kb_relative_information_score: 12.9756, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6744, predictive_accuracy: 0.719, prior_entropy: 0.836, recall: 0.719, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4649, root_relative_squared_error: 1.0539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, f_measure: 0.7135, kappa: 0.2181, kb_relative_information_score: 43.0769, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7324, predictive_accuracy: 0.7582, prior_entropy: 0.836, recall: 0.7582, relative_absolute_error: 0.8423, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.9873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.6215, kappa: -0.0065, kb_relative_information_score: 74.1089, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.54, predictive_accuracy: 0.732, prior_entropy: 0.836, recall: 0.732, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.1734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.7188, kappa: 0.2325, kb_relative_information_score: 42.3481, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7378, predictive_accuracy: 0.7614, prior_entropy: 0.836, recall: 0.7614, relative_absolute_error: 0.8457, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.9873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6496, f_measure: 0.6838, kappa: 0.1382, kb_relative_information_score: 14.5054, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6799, predictive_accuracy: 0.7255, prior_entropy: 0.836, recall: 0.7255, relative_absolute_error: 0.9131, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.9873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6231, kb_relative_information_score: 76.9269, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.1662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, f_measure: 0.6719, kappa: 0.1344, kb_relative_information_score: 10.7312, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.664, predictive_accuracy: 0.683, prior_entropy: 0.836, recall: 0.683, relative_absolute_error: 0.8751, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4698, root_relative_squared_error: 1.0649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.7138, kappa: 0.2192, kb_relative_information_score: 41.9146, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7261, predictive_accuracy: 0.7549, prior_entropy: 0.836, recall: 0.7549, relative_absolute_error: 0.8463, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.9828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.6215, kappa: -0.0065, kb_relative_information_score: 74.1089, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.54, predictive_accuracy: 0.732, prior_entropy: 0.836, recall: 0.732, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.1734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6164, f_measure: 0.6733, kappa: 0.1091, kb_relative_information_score: 17.8416, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6671, predictive_accuracy: 0.719, prior_entropy: 0.836, recall: 0.719, relative_absolute_error: 0.8943, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5704, f_measure: 0.6818, kappa: 0.1344, kb_relative_information_score: 12.9756, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6744, predictive_accuracy: 0.719, prior_entropy: 0.836, recall: 0.719, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4649, root_relative_squared_error: 1.0539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6484, f_measure: 0.6645, kappa: 0.1043, kb_relative_information_score: 9.5752, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6532, predictive_accuracy: 0.683, prior_entropy: 0.836, recall: 0.683, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4542, root_relative_squared_error: 1.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5812, f_measure: 0.6151, kappa: -0.0318, kb_relative_information_score: -8.261, mean_absolute_error: 0.3862, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5374, predictive_accuracy: 0.719, prior_entropy: 0.836, recall: 0.719, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4449, root_relative_squared_error: 1.0083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6476, f_measure: 0.6772, kappa: 0.1272, kb_relative_information_score: 24.4825, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6663, predictive_accuracy: 0.7059, prior_entropy: 0.836, recall: 0.7059, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4604, root_relative_squared_error: 1.0435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5655, f_measure: 0.6613, kappa: 0.1249, kb_relative_information_score: 11.688, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6594, predictive_accuracy: 0.6634, prior_entropy: 0.836, recall: 0.6634, relative_absolute_error: 0.8715, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5788, root_relative_squared_error: 1.3119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6017, f_measure: 0.7077, kappa: 0.2219, kb_relative_information_score: 65.655, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7004, predictive_accuracy: 0.7222, prior_entropy: 0.836, recall: 0.7222, relative_absolute_error: 0.7123, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.527, root_relative_squared_error: 1.1946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5509, f_measure: 0.6803, kappa: 0.1274, kb_relative_information_score: 71.2909, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6803, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.6955, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.1805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5891, f_measure: 0.7087, kappa: 0.2098, kb_relative_information_score: 79.7448, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7058, predictive_accuracy: 0.7386, prior_entropy: 0.836, recall: 0.7386, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5113, root_relative_squared_error: 1.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5936, f_measure: 0.7137, kappa: 0.2223, kb_relative_information_score: 85.3808, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7136, predictive_accuracy: 0.7451, prior_entropy: 0.836, recall: 0.7451, relative_absolute_error: 0.6536, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5049, root_relative_squared_error: 1.1444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.597, f_measure: 0.713, kappa: 0.2242, kb_relative_information_score: 79.7448, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7086, predictive_accuracy: 0.7386, prior_entropy: 0.836, recall: 0.7386, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5113, root_relative_squared_error: 1.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6235, f_measure: 0.7303, kappa: 0.2764, kb_relative_information_score: 88.1987, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7257, predictive_accuracy: 0.7484, prior_entropy: 0.836, recall: 0.7484, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5509, f_measure: 0.6803, kappa: 0.1274, kb_relative_information_score: 71.2909, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6803, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.6955, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.1805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5936, f_measure: 0.7137, kappa: 0.2223, kb_relative_information_score: 85.3808, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7136, predictive_accuracy: 0.7451, prior_entropy: 0.836, recall: 0.7451, relative_absolute_error: 0.6536, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5049, root_relative_squared_error: 1.1444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5825, f_measure: 0.7012, kappa: 0.1914, kb_relative_information_score: 71.2909, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.695, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.6955, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.1805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.7062, kappa: 0.1984, kb_relative_information_score: 88.1987, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7151, predictive_accuracy: 0.7484, prior_entropy: 0.836, recall: 0.7484, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.7062, kappa: 0.1984, kb_relative_information_score: 88.1987, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7151, predictive_accuracy: 0.7484, prior_entropy: 0.836, recall: 0.7484, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5825, f_measure: 0.7012, kappa: 0.1914, kb_relative_information_score: 71.2909, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.695, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.6955, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.1805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.7062, kappa: 0.1984, kb_relative_information_score: 88.1987, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7151, predictive_accuracy: 0.7484, prior_entropy: 0.836, recall: 0.7484, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.7062, kappa: 0.1984, kb_relative_information_score: 88.1987, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7151, predictive_accuracy: 0.7484, prior_entropy: 0.836, recall: 0.7484, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6017, f_measure: 0.7077, kappa: 0.2219, kb_relative_information_score: 65.655, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7004, predictive_accuracy: 0.7222, prior_entropy: 0.836, recall: 0.7222, relative_absolute_error: 0.7123, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.527, root_relative_squared_error: 1.1946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5509, f_measure: 0.6803, kappa: 0.1274, kb_relative_information_score: 71.2909, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6803, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.6955, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.1805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5891, f_measure: 0.7087, kappa: 0.2098, kb_relative_information_score: 79.7448, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7058, predictive_accuracy: 0.7386, prior_entropy: 0.836, recall: 0.7386, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5113, root_relative_squared_error: 1.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5936, f_measure: 0.7137, kappa: 0.2223, kb_relative_information_score: 85.3808, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7136, predictive_accuracy: 0.7451, prior_entropy: 0.836, recall: 0.7451, relative_absolute_error: 0.6536, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5049, root_relative_squared_error: 1.1444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.597, f_measure: 0.713, kappa: 0.2242, kb_relative_information_score: 79.7448, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7086, predictive_accuracy: 0.7386, prior_entropy: 0.836, recall: 0.7386, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5113, root_relative_squared_error: 1.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6235, f_measure: 0.7303, kappa: 0.2764, kb_relative_information_score: 88.1987, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7257, predictive_accuracy: 0.7484, prior_entropy: 0.836, recall: 0.7484, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6582, f_measure: 0.7286, kappa: 0.2699, kb_relative_information_score: 72.7181, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7244, predictive_accuracy: 0.7484, prior_entropy: 0.836, recall: 0.7484, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4587, root_relative_squared_error: 1.0397, scimark_benchmark: 1918.4916, usercpu_time_millis: 968.75, usercpu_time_millis_training: 968.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6355, f_measure: 0.7103, kappa: 0.2277, kb_relative_information_score: 32.0019, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7031, predictive_accuracy: 0.7255, prior_entropy: 0.836, recall: 0.7255, relative_absolute_error: 0.8699, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9913, scimark_benchmark: 1931.8468, usercpu_time_millis: 906.25, usercpu_time_millis_training: 906.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6231, kb_relative_information_score: 76.9269, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.1662, scimark_benchmark: 1670.334, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6047, f_measure: 0.7264, kappa: 0.2547, kb_relative_information_score: 99.4706, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7364, predictive_accuracy: 0.7614, prior_entropy: 0.836, recall: 0.7614, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4884, root_relative_squared_error: 1.1071, scimark_benchmark: 1742.8208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5983, f_measure: 0.7093, kappa: 0.22, kb_relative_information_score: 71.2909, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7023, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.6955, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.1805, scimark_benchmark: 1742.8208, usercpu_time_millis: 11171.875, usercpu_time_millis_training: 11171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.536, f_measure: 0.6675, kappa: 0.0981, kb_relative_information_score: 82.5628, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7027, predictive_accuracy: 0.7418, prior_entropy: 0.836, recall: 0.7418, relative_absolute_error: 0.662, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.1517, scimark_benchmark: 1377.4309, usercpu_time_millis: 156.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.7326, kappa: 0.2758, kb_relative_information_score: 72.6865, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7333, predictive_accuracy: 0.7582, prior_entropy: 0.836, recall: 0.7582, relative_absolute_error: 0.7119, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4494, root_relative_squared_error: 1.0187, scimark_benchmark: 1416.417, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.56, f_measure: 0.6844, kappa: 0.1425, kb_relative_information_score: 62.837, mean_absolute_error: 0.281, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6767, predictive_accuracy: 0.719, prior_entropy: 0.836, recall: 0.719, relative_absolute_error: 0.7206, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5301, root_relative_squared_error: 1.2016, usercpu_time_millis: 0.3, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5936, f_measure: 0.7137, kappa: 0.2223, kb_relative_information_score: 85.3808, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7136, predictive_accuracy: 0.7451, prior_entropy: 0.836, recall: 0.7451, relative_absolute_error: 0.6536, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5049, root_relative_squared_error: 1.1444, usercpu_time_millis: 15.84, usercpu_time_millis_testing: 3.45, usercpu_time_millis_training: 12.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5891, f_measure: 0.7087, kappa: 0.2098, kb_relative_information_score: 79.7448, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7058, predictive_accuracy: 0.7386, prior_entropy: 0.836, recall: 0.7386, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5113, root_relative_squared_error: 1.159, usercpu_time_millis: 108.11, usercpu_time_millis_testing: 50.6, usercpu_time_millis_training: 57.51,

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