Task
Supervised Classification on OVA_Omentum

Supervised Classification on OVA_Omentum

Task 3973 Supervised Classification OVA_Omentum 188 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.9241, kappa: 0.4155, kb_relative_information_score: -674.3133, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9549, predictive_accuracy: 0.9061, prior_entropy: 0.2882, recall: 0.9061, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.4078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5957, f_measure: 0.9366, kappa: 0.2479, kb_relative_information_score: 238.5552, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9316, predictive_accuracy: 0.945, prior_entropy: 0.2882, recall: 0.945, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2346, root_relative_squared_error: 1.0779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.9259, kb_relative_information_score: -22.0297, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.9483, kappa: 0.4151, kb_relative_information_score: 104.5717, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9458, predictive_accuracy: 0.9521, prior_entropy: 0.2882, recall: 0.9521, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.8885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.9241, kappa: 0.4155, kb_relative_information_score: -674.3133, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9549, predictive_accuracy: 0.9061, prior_entropy: 0.2882, recall: 0.9061, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.4078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.9483, kappa: 0.4151, kb_relative_information_score: 104.5717, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9458, predictive_accuracy: 0.9521, prior_entropy: 0.2882, recall: 0.9521, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.8885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5957, f_measure: 0.9366, kappa: 0.2479, kb_relative_information_score: 238.5552, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9316, predictive_accuracy: 0.945, prior_entropy: 0.2882, recall: 0.945, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2346, root_relative_squared_error: 1.0779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.9259, kb_relative_information_score: -22.0297, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.9476, kappa: 0.3756, kb_relative_information_score: 19.4731, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9455, predictive_accuracy: 0.9547, prior_entropy: 0.2882, recall: 0.9547, relative_absolute_error: 0.7446, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.9067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.9454, kappa: 0.3936, kb_relative_information_score: -152.6212, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9431, predictive_accuracy: 0.9482, prior_entropy: 0.2882, recall: 0.9482, relative_absolute_error: 0.6893, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.9324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.9532, kappa: 0.4281, kb_relative_information_score: -115.416, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9555, predictive_accuracy: 0.9612, prior_entropy: 0.2882, recall: 0.9612, relative_absolute_error: 0.6528, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.177, root_relative_squared_error: 0.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.9415, kappa: 0.273, kb_relative_information_score: -726.0309, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9401, predictive_accuracy: 0.9528, prior_entropy: 0.2882, recall: 0.9528, relative_absolute_error: 0.7228, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.8518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9259, kb_relative_information_score: 360.271, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2232, root_relative_squared_error: 1.0259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.9378, kappa: 0.4, kb_relative_information_score: -203.787, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9443, predictive_accuracy: 0.9327, prior_entropy: 0.2882, recall: 0.9327, relative_absolute_error: 0.7267, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2495, root_relative_squared_error: 1.1465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7696, f_measure: 0.9422, kappa: 0.4517, kb_relative_information_score: 32.1768, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9499, predictive_accuracy: 0.9366, prior_entropy: 0.2882, recall: 0.9366, relative_absolute_error: 0.6777, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2515, root_relative_squared_error: 1.1555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.9276, kappa: 0.0564, kb_relative_information_score: 234.6554, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9179, predictive_accuracy: 0.9469, prior_entropy: 0.2882, recall: 0.9469, relative_absolute_error: 0.5684, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2281, root_relative_squared_error: 1.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5814, f_measure: 0.919, kappa: 0.158, kb_relative_information_score: -400.4528, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9203, predictive_accuracy: 0.9178, prior_entropy: 0.2882, recall: 0.9178, relative_absolute_error: 0.8632, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2867, root_relative_squared_error: 1.3175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.9408, kappa: 0.3789, kb_relative_information_score: 72.8308, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9412, predictive_accuracy: 0.9405, prior_entropy: 0.2882, recall: 0.9405, relative_absolute_error: 0.6557, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2255, root_relative_squared_error: 1.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.9357, kappa: 0.353, kb_relative_information_score: -566.4146, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9391, predictive_accuracy: 0.9327, prior_entropy: 0.2882, recall: 0.9327, relative_absolute_error: 0.7655, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2224, root_relative_squared_error: 1.0222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.9449, kappa: 0.3902, kb_relative_information_score: 280.8978, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9427, predictive_accuracy: 0.9476, prior_entropy: 0.2882, recall: 0.9476, relative_absolute_error: 0.5496, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2234, root_relative_squared_error: 1.0266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.9259, kb_relative_information_score: -505.1234, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.8458, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.8844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.9305, kappa: 0.0715, kb_relative_information_score: -1213.2398, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9544, predictive_accuracy: 0.9521, prior_entropy: 0.2882, recall: 0.9521, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.9195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.9259, kb_relative_information_score: -22.0297, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.9252, kappa: -0.0025, kb_relative_information_score: 329.842, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9027, predictive_accuracy: 0.9489, prior_entropy: 0.2882, recall: 0.9489, relative_absolute_error: 0.5369, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2261, root_relative_squared_error: 1.0391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6369, f_measure: 0.8947, kappa: 0.1676, kb_relative_information_score: -1495.895, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9248, predictive_accuracy: 0.8712, prior_entropy: 0.2882, recall: 0.8712, relative_absolute_error: 1.3525, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3589, root_relative_squared_error: 1.6492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9259, kb_relative_information_score: 360.271, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2232, root_relative_squared_error: 1.0259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, f_measure: 0.9333, kappa: 0.345, kb_relative_information_score: -141.8067, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9386, predictive_accuracy: 0.9288, prior_entropy: 0.2882, recall: 0.9288, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2668, root_relative_squared_error: 1.2262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.9267, kappa: 0.2444, kb_relative_information_score: -233.0936, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9285, predictive_accuracy: 0.9249, prior_entropy: 0.2882, recall: 0.9249, relative_absolute_error: 0.7884, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.274, root_relative_squared_error: 1.2592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.9189, kappa: 0.3935, kb_relative_information_score: -856.4851, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9539, predictive_accuracy: 0.8984, prior_entropy: 0.2882, recall: 0.8984, relative_absolute_error: 1.0665, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3186, root_relative_squared_error: 1.4642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.9351, kappa: 0.1839, kb_relative_information_score: -226.9304, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.931, predictive_accuracy: 0.9489, prior_entropy: 0.2882, recall: 0.9489, relative_absolute_error: 0.6909, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.8956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.9259, kb_relative_information_score: -15799.8675, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 5.1329, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.4889, root_relative_squared_error: 2.2467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.9259, kb_relative_information_score: -5.2768, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.9259, kb_relative_information_score: -22.0297, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.9241, kappa: 0.4155, kb_relative_information_score: -674.3133, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9549, predictive_accuracy: 0.9061, prior_entropy: 0.2882, recall: 0.9061, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.4078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6367, f_measure: 0.9456, kappa: 0.3541, kb_relative_information_score: 421.1289, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9428, predictive_accuracy: 0.9528, prior_entropy: 0.2882, recall: 0.9528, relative_absolute_error: 0.4961, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.9259, kb_relative_information_score: -567.3243, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.9021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.95, kappa: 0.4123, kb_relative_information_score: 195.0079, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.948, predictive_accuracy: 0.956, prior_entropy: 0.2882, recall: 0.956, relative_absolute_error: 0.5219, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.8994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.9507, kappa: 0.4712, kb_relative_information_score: 384.2654, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.95, predictive_accuracy: 0.9515, prior_entropy: 0.2882, recall: 0.9515, relative_absolute_error: 0.5184, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2199, root_relative_squared_error: 1.0106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.9402, kappa: 0.2945, kb_relative_information_score: -126.0273, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.936, predictive_accuracy: 0.9476, prior_entropy: 0.2882, recall: 0.9476, relative_absolute_error: 0.8292, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.9613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.9259, kb_relative_information_score: 4.256, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, f_measure: 0.9333, kappa: 0.345, kb_relative_information_score: -146.5711, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9386, predictive_accuracy: 0.9288, prior_entropy: 0.2882, recall: 0.9288, relative_absolute_error: 0.7541, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2666, root_relative_squared_error: 1.2253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, f_measure: 0.9416, kappa: 0.3894, kb_relative_information_score: 146.3465, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9422, predictive_accuracy: 0.9411, prior_entropy: 0.2882, recall: 0.9411, relative_absolute_error: 0.6307, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2319, root_relative_squared_error: 1.0658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.9259, kb_relative_information_score: -746.559, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.9005, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.9259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.9376, kappa: 0.3183, kb_relative_information_score: 21.901, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9356, predictive_accuracy: 0.9398, prior_entropy: 0.2882, recall: 0.9398, relative_absolute_error: 0.6978, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2283, root_relative_squared_error: 1.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.9259, kb_relative_information_score: -15700.3388, mean_absolute_error: 0.4826, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 5.0679, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.4828, root_relative_squared_error: 2.2186,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7721, f_measure: 0.9261, kappa: 0.2677, kb_relative_information_score: -407.2876, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9311, predictive_accuracy: 0.9217, prior_entropy: 0.2882, recall: 0.9217, relative_absolute_error: 0.8254, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2701, root_relative_squared_error: 1.2414, scimark_benchmark: 1358.5812, usercpu_time_millis: 409630, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 409370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.9402, kappa: 0.3584, kb_relative_information_score: 92.2449, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9393, predictive_accuracy: 0.9411, prior_entropy: 0.2882, recall: 0.9411, relative_absolute_error: 0.6963, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.9994, scimark_benchmark: 1104.0724, usercpu_time_millis: 4302480, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4302440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.9223, kappa: 0.4247, kb_relative_information_score: -765.6002, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9583, predictive_accuracy: 0.9023, prior_entropy: 0.2882, recall: 0.9023, relative_absolute_error: 1.0263, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3126, root_relative_squared_error: 1.4366, scimark_benchmark: 1361.6924, usercpu_time_millis: 18020, usercpu_time_millis_testing: 10210, usercpu_time_millis_training: 7810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5066, f_measure: 0.9259, kb_relative_information_score: 16.4038, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.9788, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1, scimark_benchmark: 1045.4153, usercpu_time_millis: 1949530, usercpu_time_millis_testing: 471790, usercpu_time_millis_training: 1477740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, f_measure: 0.9333, kappa: 0.345, kb_relative_information_score: -146.5711, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9386, predictive_accuracy: 0.9288, prior_entropy: 0.2882, recall: 0.9288, relative_absolute_error: 0.7541, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2666, root_relative_squared_error: 1.2253, scimark_benchmark: 1392.4542, usercpu_time_millis: 111090, usercpu_time_millis_testing: 106510, usercpu_time_millis_training: 4580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, f_measure: 0.9219, kappa: 0.2421, kb_relative_information_score: -469.7062, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9289, predictive_accuracy: 0.9159, prior_entropy: 0.2882, recall: 0.9159, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2745, root_relative_squared_error: 1.2615, scimark_benchmark: 1214.8265, usercpu_time_millis: 433790, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 433320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.9362, kappa: 0.245, kb_relative_information_score: 302.3076, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9311, predictive_accuracy: 0.9443, prior_entropy: 0.2882, recall: 0.9443, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.9997, scimark_benchmark: 1323.843, usercpu_time_millis: 650910, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 650810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6466, f_measure: 0.9432, kappa: 0.3492, kb_relative_information_score: 314.6275, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9399, predictive_accuracy: 0.9482, prior_entropy: 0.2882, recall: 0.9482, relative_absolute_error: 0.5437, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2276, root_relative_squared_error: 1.0457, scimark_benchmark: 1366.2589, usercpu_time_millis: 21390, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 21070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.9462, kappa: 0.4052, kb_relative_information_score: 329.842, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9442, predictive_accuracy: 0.9489, prior_entropy: 0.2882, recall: 0.9489, relative_absolute_error: 0.5369, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2261, root_relative_squared_error: 1.0391, scimark_benchmark: 1304.7219, usercpu_time_millis: 11260, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 10740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.9462, kappa: 0.4052, kb_relative_information_score: 329.842, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9442, predictive_accuracy: 0.9489, prior_entropy: 0.2882, recall: 0.9489, relative_absolute_error: 0.5369, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2261, root_relative_squared_error: 1.0391, scimark_benchmark: 1344.6453, usercpu_time_millis: 13240, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 12680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5138, f_measure: 0.9259, kb_relative_information_score: 16.3407, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1, scimark_benchmark: 1363.2173, usercpu_time_millis: 1026880, usercpu_time_millis_testing: 231040, usercpu_time_millis_training: 795840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, f_measure: 0.9178, kappa: 0.3384, kb_relative_information_score: -549.8789, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9439, predictive_accuracy: 0.9003, prior_entropy: 0.2882, recall: 0.9003, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2317, root_relative_squared_error: 1.0649, scimark_benchmark: 987.2501, usercpu_time_millis: 211530, usercpu_time_millis_testing: 211520, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.9456, kappa: 0.3605, kb_relative_information_score: 332.5987, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9427, predictive_accuracy: 0.9521, prior_entropy: 0.2882, recall: 0.9521, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.9391, scimark_benchmark: 1480.8909, usercpu_time_millis: 3458290, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3458260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.9259, kb_relative_information_score: -22.0297, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1, scimark_benchmark: 1278.8619, usercpu_time_millis: 4087560, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 4087510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.9295, kappa: 0.3192, kb_relative_information_score: -296.948, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9365, predictive_accuracy: 0.9236, prior_entropy: 0.2882, recall: 0.9236, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2724, root_relative_squared_error: 1.2518, scimark_benchmark: 1237.7153, usercpu_time_millis: 4803260, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 4803200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.9452, kappa: 0.4029, kb_relative_information_score: 229.6413, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9436, predictive_accuracy: 0.9469, prior_entropy: 0.2882, recall: 0.9469, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.9797, scimark_benchmark: 1176.6319, usercpu_time_millis: 4499930, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 4499830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.9433, kappa: 0.2872, kb_relative_information_score: -140.9287, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9455, predictive_accuracy: 0.9553, prior_entropy: 0.2882, recall: 0.9553, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.18, root_relative_squared_error: 0.8271, scimark_benchmark: 1615.1399, usercpu_time_millis: 3081930, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 3081860,

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