OpenML
Supervised Classification on segment

Supervised Classification on segment

Task 146822 Supervised Classification segment 9967 runs submitted
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  • OpenML-CC18 study_218 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.8558, kappa: 0.8318, kb_relative_information_score: 1950.6205, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8583, predictive_accuracy: 0.8558, prior_entropy: 2.8074, recall: 0.8558, relative_absolute_error: 0.1682, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8092, kappa: 0.7783, kb_relative_information_score: 1836.2234, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8158, predictive_accuracy: 0.81, prior_entropy: 2.8074, recall: 0.81, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.233, root_relative_squared_error: 0.6659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.9031, kappa: 0.8869, kb_relative_information_score: 2068.2552, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9036, predictive_accuracy: 0.903, prior_entropy: 2.8074, recall: 0.903, relative_absolute_error: 0.1131, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.4757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7755, f_measure: 0.5794, kappa: 0.551, kb_relative_information_score: 1350.5754, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7488, predictive_accuracy: 0.6152, prior_entropy: 2.8074, recall: 0.6152, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.9476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8971, kappa: 0.8788, kb_relative_information_score: 2050.9877, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8991, predictive_accuracy: 0.8961, prior_entropy: 2.8074, recall: 0.8961, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.4924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.9232, kappa: 0.9106, kb_relative_information_score: 2118.9785, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9236, predictive_accuracy: 0.9234, prior_entropy: 2.8074, recall: 0.9234, relative_absolute_error: 0.0894, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.148, root_relative_squared_error: 0.4228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.8841, kappa: 0.8646, kb_relative_information_score: 2020.7696, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8849, predictive_accuracy: 0.884, prior_entropy: 2.8074, recall: 0.884, relative_absolute_error: 0.1354, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.5203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7619, f_measure: 0.543, kappa: 0.5237, kb_relative_information_score: 1292.2976, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7335, predictive_accuracy: 0.5918, prior_entropy: 2.8074, recall: 0.5918, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.5235, kappa: 0.504, kb_relative_information_score: 1250.2081, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7104, predictive_accuracy: 0.5749, prior_entropy: 2.8074, recall: 0.5749, relative_absolute_error: 0.496, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.9188, kappa: 0.9056, kb_relative_information_score: 2108.1863, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9193, predictive_accuracy: 0.919, prior_entropy: 2.8074, recall: 0.919, relative_absolute_error: 0.0944, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.4346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.5237, kappa: 0.504, kb_relative_information_score: 1250.2081, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7101, predictive_accuracy: 0.5749, prior_entropy: 2.8074, recall: 0.5749, relative_absolute_error: 0.496, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.8198, kappa: 0.7904, kb_relative_information_score: 1862.1246, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8248, predictive_accuracy: 0.8203, prior_entropy: 2.8074, recall: 0.8203, relative_absolute_error: 0.2096, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.6475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9219, kappa: 0.9091, kb_relative_information_score: 2115.7408, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9222, predictive_accuracy: 0.9221, prior_entropy: 2.8074, recall: 0.9221, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.4264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.9073, kappa: 0.8924, kb_relative_information_score: 2080.1266, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9092, predictive_accuracy: 0.9078, prior_entropy: 2.8074, recall: 0.9078, relative_absolute_error: 0.1076, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.4638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.5241, kappa: 0.5045, kb_relative_information_score: 1251.2874, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7108, predictive_accuracy: 0.5753, prior_entropy: 2.8074, recall: 0.5753, relative_absolute_error: 0.4955, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.9954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.5237, kappa: 0.504, kb_relative_information_score: 1250.2081, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7101, predictive_accuracy: 0.5749, prior_entropy: 2.8074, recall: 0.5749, relative_absolute_error: 0.496, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9152, kappa: 0.9015, kb_relative_information_score: 2099.5525, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9176, predictive_accuracy: 0.9156, prior_entropy: 2.8074, recall: 0.9156, relative_absolute_error: 0.0985, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.4438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8953, kappa: 0.8758, kb_relative_information_score: 2044.5124, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9004, predictive_accuracy: 0.8935, prior_entropy: 2.8074, recall: 0.8935, relative_absolute_error: 0.1242, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.4985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8749, kappa: 0.8485, kb_relative_information_score: 1986.2347, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8885, predictive_accuracy: 0.8701, prior_entropy: 2.8074, recall: 0.8701, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.5505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.6611, kappa: 0.6263, kb_relative_information_score: 1511.3788, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.724, predictive_accuracy: 0.6797, prior_entropy: 2.8074, recall: 0.6797, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.8646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.5241, kappa: 0.5045, kb_relative_information_score: 1251.2874, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7108, predictive_accuracy: 0.5753, prior_entropy: 2.8074, recall: 0.5753, relative_absolute_error: 0.4955, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.9954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.542, kappa: 0.5227, kb_relative_information_score: 1290.1392, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7319, predictive_accuracy: 0.5909, prior_entropy: 2.8074, recall: 0.5909, relative_absolute_error: 0.4773, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8673, kappa: 0.8384, kb_relative_information_score: 1964.6503, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8849, predictive_accuracy: 0.8615, prior_entropy: 2.8074, recall: 0.8615, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.5685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.5732, kappa: 0.546, kb_relative_information_score: 1339.7832, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7408, predictive_accuracy: 0.6108, prior_entropy: 2.8074, recall: 0.6108, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.9529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.7765, kappa: 0.7374, kb_relative_information_score: 1748.8068, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7898, predictive_accuracy: 0.7749, prior_entropy: 2.8074, recall: 0.7749, relative_absolute_error: 0.2626, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.7247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.9039, kappa: 0.8879, kb_relative_information_score: 2070.4137, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9044, predictive_accuracy: 0.9039, prior_entropy: 2.8074, recall: 0.9039, relative_absolute_error: 0.1121, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.4735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9219, kappa: 0.9091, kb_relative_information_score: 2115.7408, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9223, predictive_accuracy: 0.9221, prior_entropy: 2.8074, recall: 0.9221, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.4264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.9206, kappa: 0.9076, kb_relative_information_score: 2112.5031, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9218, predictive_accuracy: 0.9208, prior_entropy: 2.8074, recall: 0.9208, relative_absolute_error: 0.0924, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.4299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.5237, kappa: 0.504, kb_relative_information_score: 1250.2081, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7101, predictive_accuracy: 0.5749, prior_entropy: 2.8074, recall: 0.5749, relative_absolute_error: 0.496, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.9077, kappa: 0.8929, kb_relative_information_score: 2081.2058, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9097, predictive_accuracy: 0.9082, prior_entropy: 2.8074, recall: 0.9082, relative_absolute_error: 0.1071, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.4628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8487, kappa: 0.8237, kb_relative_information_score: 1933.353, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8503, predictive_accuracy: 0.8489, prior_entropy: 2.8074, recall: 0.8489, relative_absolute_error: 0.1763, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.5937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.9188, kappa: 0.9056, kb_relative_information_score: 2108.1863, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9193, predictive_accuracy: 0.919, prior_entropy: 2.8074, recall: 0.919, relative_absolute_error: 0.0944, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.4346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.9008, kappa: 0.8848, kb_relative_information_score: 2063.9383, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9026, predictive_accuracy: 0.9013, prior_entropy: 2.8074, recall: 0.9013, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.4799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.9091, kappa: 0.8944, kb_relative_information_score: 2084.4435, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9111, predictive_accuracy: 0.9095, prior_entropy: 2.8074, recall: 0.9095, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.4595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8969, kappa: 0.8803, kb_relative_information_score: 2054.2254, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8985, predictive_accuracy: 0.8974, prior_entropy: 2.8074, recall: 0.8974, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.4893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.5241, kappa: 0.5045, kb_relative_information_score: 1251.2874, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7108, predictive_accuracy: 0.5753, prior_entropy: 2.8074, recall: 0.5753, relative_absolute_error: 0.4955, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.9954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.5732, kappa: 0.546, kb_relative_information_score: 1339.7832, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7408, predictive_accuracy: 0.6108, prior_entropy: 2.8074, recall: 0.6108, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.9529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.9007, kappa: 0.8838, kb_relative_information_score: 2061.7799, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9012, predictive_accuracy: 0.9004, prior_entropy: 2.8074, recall: 0.9004, relative_absolute_error: 0.1162, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.5631, kappa: 0.5394, kb_relative_information_score: 1325.7534, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7244, predictive_accuracy: 0.6052, prior_entropy: 2.8074, recall: 0.6052, relative_absolute_error: 0.4606, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.9598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.5241, kappa: 0.5045, kb_relative_information_score: 1251.2874, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7108, predictive_accuracy: 0.5753, prior_entropy: 2.8074, recall: 0.5753, relative_absolute_error: 0.4955, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.9954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8412, kappa: 0.8152, kb_relative_information_score: 1915.0063, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8422, predictive_accuracy: 0.8416, prior_entropy: 2.8074, recall: 0.8416, relative_absolute_error: 0.1848, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8428, kappa: 0.8172, kb_relative_information_score: 1919.3232, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8437, predictive_accuracy: 0.8433, prior_entropy: 2.8074, recall: 0.8433, relative_absolute_error: 0.1828, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.6047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.5556, kappa: 0.5328, kb_relative_information_score: 1311.7236, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7366, predictive_accuracy: 0.5996, prior_entropy: 2.8074, recall: 0.5996, relative_absolute_error: 0.4672, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.9666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8865, kappa: 0.8641, kb_relative_information_score: 2019.6904, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8953, predictive_accuracy: 0.8835, prior_entropy: 2.8074, recall: 0.8835, relative_absolute_error: 0.1359, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.5213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9153, kappa: 0.9015, kb_relative_information_score: 2099.5525, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9172, predictive_accuracy: 0.9156, prior_entropy: 2.8074, recall: 0.9156, relative_absolute_error: 0.0985, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.4438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.632, kappa: 0.5909, kb_relative_information_score: 1435.8336, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7338, predictive_accuracy: 0.6494, prior_entropy: 2.8074, recall: 0.6494, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.9045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.5237, kappa: 0.504, kb_relative_information_score: 1250.2081, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7101, predictive_accuracy: 0.5749, prior_entropy: 2.8074, recall: 0.5749, relative_absolute_error: 0.496, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.772, f_measure: 0.5695, kappa: 0.5439, kb_relative_information_score: 1335.4663, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7368, predictive_accuracy: 0.6091, prior_entropy: 2.8074, recall: 0.6091, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.9551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.5237, kappa: 0.504, kb_relative_information_score: 1250.2081, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7101, predictive_accuracy: 0.5749, prior_entropy: 2.8074, recall: 0.5749, relative_absolute_error: 0.496, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.6879, kappa: 0.6419, kb_relative_information_score: 1544.8346, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7247, predictive_accuracy: 0.6931, prior_entropy: 2.8074, recall: 0.6931, relative_absolute_error: 0.3581, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.8463,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9171, kappa: 0.9035, kb_relative_information_score: 2103.8694, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9175, predictive_accuracy: 0.9173, prior_entropy: 2.8074, recall: 0.9173, relative_absolute_error: 0.0965, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.4392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.9178, kappa: 0.9045, kb_relative_information_score: 2106.0278, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9184, predictive_accuracy: 0.9182, prior_entropy: 2.8074, recall: 0.9182, relative_absolute_error: 0.0955, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.4369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.9001, kappa: 0.8823, kb_relative_information_score: 2058.5423, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9025, predictive_accuracy: 0.8991, prior_entropy: 2.8074, recall: 0.8991, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.4851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.564, kappa: 0.5404, kb_relative_information_score: 1327.9118, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.725, predictive_accuracy: 0.6061, prior_entropy: 2.8074, recall: 0.6061, relative_absolute_error: 0.4596, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.9587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8146, kappa: 0.7848, kb_relative_information_score: 1850.2532, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8196, predictive_accuracy: 0.8156, prior_entropy: 2.8074, recall: 0.8156, relative_absolute_error: 0.2152, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8598, kappa: 0.8364, kb_relative_information_score: 1960.3334, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8618, predictive_accuracy: 0.8597, prior_entropy: 2.8074, recall: 0.8597, relative_absolute_error: 0.1636, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.5721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7133, kappa: 0.6672, kb_relative_information_score: 1598.7955, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7493, predictive_accuracy: 0.7147, prior_entropy: 2.8074, recall: 0.7147, relative_absolute_error: 0.3328, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.8159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.8973, kappa: 0.8808, kb_relative_information_score: 2055.3046, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8988, predictive_accuracy: 0.8978, prior_entropy: 2.8074, recall: 0.8978, relative_absolute_error: 0.1192, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.4882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.9174, kappa: 0.904, kb_relative_information_score: 2104.9486, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.918, predictive_accuracy: 0.9177, prior_entropy: 2.8074, recall: 0.9177, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.4381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8931, kappa: 0.8758, kb_relative_information_score: 2044.5124, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8942, predictive_accuracy: 0.8935, prior_entropy: 2.8074, recall: 0.8935, relative_absolute_error: 0.1242, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.4985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.5235, kappa: 0.504, kb_relative_information_score: 1250.2081, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7104, predictive_accuracy: 0.5749, prior_entropy: 2.8074, recall: 0.5749, relative_absolute_error: 0.496, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8793, kappa: 0.8591, kb_relative_information_score: 2008.8982, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8801, predictive_accuracy: 0.8792, prior_entropy: 2.8074, recall: 0.8792, relative_absolute_error: 0.1409, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.5309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, f_measure: 0.5842, kappa: 0.554, kb_relative_information_score: 1357.0507, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7455, predictive_accuracy: 0.6177, prior_entropy: 2.8074, recall: 0.6177, relative_absolute_error: 0.446, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.9444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.8301, kappa: 0.802, kb_relative_information_score: 1886.9466, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8319, predictive_accuracy: 0.8303, prior_entropy: 2.8074, recall: 0.8303, relative_absolute_error: 0.198, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.6293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.8868, kappa: 0.8682, kb_relative_information_score: 2028.3242, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8875, predictive_accuracy: 0.887, prior_entropy: 2.8074, recall: 0.887, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.5135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8853, kappa: 0.8662, kb_relative_information_score: 2024.0073, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8862, predictive_accuracy: 0.8853, prior_entropy: 2.8074, recall: 0.8853, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.181, root_relative_squared_error: 0.5174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9065, kappa: 0.8909, kb_relative_information_score: 2076.889, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9069, predictive_accuracy: 0.9065, prior_entropy: 2.8074, recall: 0.9065, relative_absolute_error: 0.1091, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.4671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8716, kappa: 0.85, kb_relative_information_score: 1989.4723, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8726, predictive_accuracy: 0.8714, prior_entropy: 2.8074, recall: 0.8714, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.5477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.9125, kappa: 0.898, kb_relative_information_score: 2091.998, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9129, predictive_accuracy: 0.9126, prior_entropy: 2.8074, recall: 0.9126, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.4517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8973, kappa: 0.8783, kb_relative_information_score: 2049.9085, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9019, predictive_accuracy: 0.8957, prior_entropy: 2.8074, recall: 0.8957, relative_absolute_error: 0.1217, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.4934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.9167, kappa: 0.903, kb_relative_information_score: 2102.7902, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9171, predictive_accuracy: 0.9169, prior_entropy: 2.8074, recall: 0.9169, relative_absolute_error: 0.097, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.4404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8985, kappa: 0.8823, kb_relative_information_score: 2058.5423, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9003, predictive_accuracy: 0.8991, prior_entropy: 2.8074, recall: 0.8991, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.4851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.9189, kappa: 0.9056, kb_relative_information_score: 2108.1863, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9192, predictive_accuracy: 0.919, prior_entropy: 2.8074, recall: 0.919, relative_absolute_error: 0.0944, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.4346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9215, kappa: 0.9086, kb_relative_information_score: 2114.6616, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9222, predictive_accuracy: 0.9216, prior_entropy: 2.8074, recall: 0.9216, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.4276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.9065, kappa: 0.8914, kb_relative_information_score: 2077.9682, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9084, predictive_accuracy: 0.9069, prior_entropy: 2.8074, recall: 0.9069, relative_absolute_error: 0.1086, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.854, kappa: 0.8298, kb_relative_information_score: 1946.3036, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8568, predictive_accuracy: 0.8541, prior_entropy: 2.8074, recall: 0.8541, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.5834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.9187, kappa: 0.9056, kb_relative_information_score: 2108.1863, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9194, predictive_accuracy: 0.919, prior_entropy: 2.8074, recall: 0.919, relative_absolute_error: 0.0944, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.4346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9145, kappa: 0.9005, kb_relative_information_score: 2097.3941, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9164, predictive_accuracy: 0.9147, prior_entropy: 2.8074, recall: 0.9147, relative_absolute_error: 0.0995, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.4461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8905, kappa: 0.8727, kb_relative_information_score: 2038.0371, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8916, predictive_accuracy: 0.8909, prior_entropy: 2.8074, recall: 0.8909, relative_absolute_error: 0.1273, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.5045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.5237, kappa: 0.504, kb_relative_information_score: 1250.2081, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7101, predictive_accuracy: 0.5749, prior_entropy: 2.8074, recall: 0.5749, relative_absolute_error: 0.496, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.8142, kappa: 0.7843, kb_relative_information_score: 1849.174, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8192, predictive_accuracy: 0.8152, prior_entropy: 2.8074, recall: 0.8152, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.9023, kappa: 0.8854, kb_relative_information_score: 2065.0176, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9034, predictive_accuracy: 0.9017, prior_entropy: 2.8074, recall: 0.9017, relative_absolute_error: 0.1146, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.4788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9153, kappa: 0.9015, kb_relative_information_score: 2099.5525, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9172, predictive_accuracy: 0.9156, prior_entropy: 2.8074, recall: 0.9156, relative_absolute_error: 0.0985, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.4438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9215, kappa: 0.9086, kb_relative_information_score: 2114.6616, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9222, predictive_accuracy: 0.9216, prior_entropy: 2.8074, recall: 0.9216, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.4276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.9017, kappa: 0.8859, kb_relative_information_score: 2066.0968, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9035, predictive_accuracy: 0.9022, prior_entropy: 2.8074, recall: 0.9022, relative_absolute_error: 0.1141, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.4778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.9023, kappa: 0.8854, kb_relative_information_score: 2065.0176, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9034, predictive_accuracy: 0.9017, prior_entropy: 2.8074, recall: 0.9017, relative_absolute_error: 0.1146, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.4788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.5241, kappa: 0.5045, kb_relative_information_score: 1251.2874, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7108, predictive_accuracy: 0.5753, prior_entropy: 2.8074, recall: 0.5753, relative_absolute_error: 0.4955, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.9954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.8686, kappa: 0.8465, kb_relative_information_score: 1981.9178, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8699, predictive_accuracy: 0.8684, prior_entropy: 2.8074, recall: 0.8684, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.5541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.8968, kappa: 0.8778, kb_relative_information_score: 2048.8293, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.901, predictive_accuracy: 0.8952, prior_entropy: 2.8074, recall: 0.8952, relative_absolute_error: 0.1222, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.173, root_relative_squared_error: 0.4944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9154, kappa: 0.9015, kb_relative_information_score: 2099.5525, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9158, predictive_accuracy: 0.9156, prior_entropy: 2.8074, recall: 0.9156, relative_absolute_error: 0.0985, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.4438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.5237, kappa: 0.504, kb_relative_information_score: 1250.2081, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7101, predictive_accuracy: 0.5749, prior_entropy: 2.8074, recall: 0.5749, relative_absolute_error: 0.496, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8856, kappa: 0.8626, kb_relative_information_score: 2016.4528, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8956, predictive_accuracy: 0.8823, prior_entropy: 2.8074, recall: 0.8823, relative_absolute_error: 0.1374, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.5242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8283, kappa: 0.8, kb_relative_information_score: 1882.6298, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8315, predictive_accuracy: 0.8286, prior_entropy: 2.8074, recall: 0.8286, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.6325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9219, kappa: 0.9091, kb_relative_information_score: 2115.7408, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9231, predictive_accuracy: 0.9221, prior_entropy: 2.8074, recall: 0.9221, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.4264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.8518, kappa: 0.8273, kb_relative_information_score: 1940.9075, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8537, predictive_accuracy: 0.8519, prior_entropy: 2.8074, recall: 0.8519, relative_absolute_error: 0.1727, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.5878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.9147, kappa: 0.901, kb_relative_information_score: 2098.4733, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9172, predictive_accuracy: 0.9152, prior_entropy: 2.8074, recall: 0.9152, relative_absolute_error: 0.099, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.4449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9219, kappa: 0.9091, kb_relative_information_score: 2115.7408, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9222, predictive_accuracy: 0.9221, prior_entropy: 2.8074, recall: 0.9221, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.4264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.5237, kappa: 0.504, kb_relative_information_score: 1250.2081, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7101, predictive_accuracy: 0.5749, prior_entropy: 2.8074, recall: 0.5749, relative_absolute_error: 0.496, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.8898, kappa: 0.8682, kb_relative_information_score: 2028.3242, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8979, predictive_accuracy: 0.887, prior_entropy: 2.8074, recall: 0.887, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.5135,

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

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From your own software

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

OpenML APIs