Task
Supervised Classification on spambase

Supervised Classification on spambase

Task 145979 Supervised Classification spambase 58350 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9417, kappa: 0.8774, kb_relative_information_score: 3319.5007, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9422, predictive_accuracy: 0.942, prior_entropy: 0.9674, recall: 0.942, relative_absolute_error: 0.3169, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.4632, scimark_benchmark: 1290.9305, usercpu_time_millis: 56.987, usercpu_time_millis_testing: 5.285, usercpu_time_millis_training: 51.702,
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: 0.9763, f_measure: 0.9298, kappa: 0.8522, kb_relative_information_score: 2775.7049, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9307, predictive_accuracy: 0.9302, prior_entropy: 0.9674, recall: 0.9302, relative_absolute_error: 0.4498, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2704, root_relative_squared_error: 0.5533, scimark_benchmark: 1296.2429, usercpu_time_millis: 29.368, usercpu_time_millis_testing: 2.208, usercpu_time_millis_training: 27.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9457, kappa: 0.8858, kb_relative_information_score: 3410.7861, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.946, predictive_accuracy: 0.9459, prior_entropy: 0.9674, recall: 0.9459, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4459, scimark_benchmark: 1301.1191, usercpu_time_millis: 224.734, usercpu_time_millis_testing: 16.448, usercpu_time_millis_training: 208.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9217, kappa: 0.835, kb_relative_information_score: 2362.7489, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9233, predictive_accuracy: 0.9224, prior_entropy: 0.9674, recall: 0.9224, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.6199, scimark_benchmark: 1285.3298, usercpu_time_millis: 23.871, usercpu_time_millis_testing: 2.872, usercpu_time_millis_training: 20.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.94, kappa: 0.8741, kb_relative_information_score: 3587.1795, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9402, predictive_accuracy: 0.9402, prior_entropy: 0.9674, recall: 0.9402, relative_absolute_error: 0.2403, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.4499, scimark_benchmark: 1302.221, usercpu_time_millis: 4.96, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 4.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9212, kappa: 0.8336, kb_relative_information_score: 2603.8222, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9246, predictive_accuracy: 0.9222, prior_entropy: 0.9674, recall: 0.9222, relative_absolute_error: 0.4919, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.577, scimark_benchmark: 1280.4676, usercpu_time_millis: 16.245, usercpu_time_millis_testing: 1.426, usercpu_time_millis_training: 14.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9278, kappa: 0.8479, kb_relative_information_score: 2632.5649, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9288, predictive_accuracy: 0.9283, prior_entropy: 0.9674, recall: 0.9283, relative_absolute_error: 0.4818, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2838, root_relative_squared_error: 0.5808, scimark_benchmark: 1305.8469, usercpu_time_millis: 6.611, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 6.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9358, kappa: 0.865, kb_relative_information_score: 3207.7802, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9363, predictive_accuracy: 0.9361, prior_entropy: 0.9674, recall: 0.9361, relative_absolute_error: 0.3415, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.4919, scimark_benchmark: 1289.2201, usercpu_time_millis: 20.167, usercpu_time_millis_testing: -0.079, usercpu_time_millis_training: 20.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.909, kappa: 0.8077, kb_relative_information_score: 2233.6505, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9138, predictive_accuracy: 0.9105, prior_entropy: 0.9674, recall: 0.9105, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.6387, scimark_benchmark: 1296.8782, usercpu_time_millis: 74.02, usercpu_time_millis_testing: 8.83, usercpu_time_millis_training: 65.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9481, kappa: 0.8911, kb_relative_information_score: 3625.6343, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9483, predictive_accuracy: 0.9483, prior_entropy: 0.9674, recall: 0.9483, relative_absolute_error: 0.2368, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4223, scimark_benchmark: 1291.5253, usercpu_time_millis: 10.461, usercpu_time_millis_testing: 0.496, usercpu_time_millis_training: 9.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9147, kappa: 0.8198, kb_relative_information_score: 2266.9509, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9187, predictive_accuracy: 0.9159, prior_entropy: 0.9674, recall: 0.9159, relative_absolute_error: 0.57, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.6325, scimark_benchmark: 1288.6169, usercpu_time_millis: 62.283, usercpu_time_millis_testing: 5.631, usercpu_time_millis_training: 56.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9237, kappa: 0.8393, kb_relative_information_score: 2534.0418, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9252, predictive_accuracy: 0.9244, prior_entropy: 0.9674, recall: 0.9244, relative_absolute_error: 0.5054, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.291, root_relative_squared_error: 0.5956, scimark_benchmark: 1276.6095, usercpu_time_millis: 5.2, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 4.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9496, kappa: 0.8942, kb_relative_information_score: 3479.4896, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9499, predictive_accuracy: 0.9498, prior_entropy: 0.9674, recall: 0.9498, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.4326, scimark_benchmark: 1284.233, usercpu_time_millis: 57.026, usercpu_time_millis_testing: 3.89, usercpu_time_millis_training: 53.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9446, kappa: 0.8836, kb_relative_information_score: 3497.7991, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9449, predictive_accuracy: 0.9448, prior_entropy: 0.9674, recall: 0.9448, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4386, scimark_benchmark: 1301.5448, usercpu_time_millis: 308.099, usercpu_time_millis_testing: 11.943, usercpu_time_millis_training: 296.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9348, kappa: 0.8628, kb_relative_information_score: 2812.0069, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9357, predictive_accuracy: 0.9352, prior_entropy: 0.9674, recall: 0.9352, relative_absolute_error: 0.4425, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.5442, scimark_benchmark: 1283.6314, usercpu_time_millis: 110.647, usercpu_time_millis_testing: 7.493, usercpu_time_millis_training: 103.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9505, kappa: 0.8961, kb_relative_information_score: 3649.7497, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9507, predictive_accuracy: 0.9507, prior_entropy: 0.9674, recall: 0.9507, relative_absolute_error: 0.2323, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4119, scimark_benchmark: 1303.01, usercpu_time_millis: 107.97, usercpu_time_millis_testing: 4.893, usercpu_time_millis_training: 103.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9428, kappa: 0.8797, kb_relative_information_score: 3282.4328, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9433, predictive_accuracy: 0.9431, prior_entropy: 0.9674, recall: 0.9431, relative_absolute_error: 0.3263, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.4683, scimark_benchmark: 1303.2563, usercpu_time_millis: 26.58, usercpu_time_millis_testing: 3.8, usercpu_time_millis_training: 22.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9196, kappa: 0.8303, kb_relative_information_score: 2531.234, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9231, predictive_accuracy: 0.9207, prior_entropy: 0.9674, recall: 0.9207, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.591, scimark_benchmark: 1287.4771, usercpu_time_millis: 5.623, usercpu_time_millis_testing: -0.468, usercpu_time_millis_training: 6.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9474, kappa: 0.8896, kb_relative_information_score: 3545.3076, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9477, predictive_accuracy: 0.9476, prior_entropy: 0.9674, recall: 0.9476, relative_absolute_error: 0.2586, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.43, scimark_benchmark: 1282.9921, usercpu_time_millis: 328.29, usercpu_time_millis_testing: 13.428, usercpu_time_millis_training: 314.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9404, kappa: 0.8746, kb_relative_information_score: 3188.4104, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.941, predictive_accuracy: 0.9407, prior_entropy: 0.9674, recall: 0.9407, relative_absolute_error: 0.3505, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.4819, scimark_benchmark: 1295.4213, usercpu_time_millis: 143.91, usercpu_time_millis_testing: 11.833, usercpu_time_millis_training: 132.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9509, kappa: 0.897, kb_relative_information_score: 3555.7669, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9511, predictive_accuracy: 0.9511, prior_entropy: 0.9674, recall: 0.9511, relative_absolute_error: 0.2578, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.206, root_relative_squared_error: 0.4217, scimark_benchmark: 1276.5351, usercpu_time_millis: 259.625, usercpu_time_millis_testing: 15.143, usercpu_time_millis_training: 244.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9477, kappa: 0.89, kb_relative_information_score: 3561.0741, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9479, predictive_accuracy: 0.9478, prior_entropy: 0.9674, recall: 0.9478, relative_absolute_error: 0.2543, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.4291, scimark_benchmark: 1281.015, usercpu_time_millis: 176.556, usercpu_time_millis_testing: 9.036, usercpu_time_millis_training: 167.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.953, kappa: 0.9013, kb_relative_information_score: 3698.518, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.953, predictive_accuracy: 0.9531, prior_entropy: 0.9674, recall: 0.9531, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.197, root_relative_squared_error: 0.4032, scimark_benchmark: 1298.4014, usercpu_time_millis: 504.731, usercpu_time_millis_testing: 19.027, usercpu_time_millis_training: 485.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.8732, kappa: 0.7315, kb_relative_information_score: 1620.79, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8891, predictive_accuracy: 0.8774, prior_entropy: 0.9674, recall: 0.8774, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7404, scimark_benchmark: 1281.8475, usercpu_time_millis: 30.013, usercpu_time_millis_testing: 1.97, usercpu_time_millis_training: 28.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9344, kappa: 0.8621, kb_relative_information_score: 3075.6134, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.935, predictive_accuracy: 0.9348, prior_entropy: 0.9674, recall: 0.9348, relative_absolute_error: 0.3753, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.5103, scimark_benchmark: 1289.235, usercpu_time_millis: 29.762, usercpu_time_millis_testing: 2.23, usercpu_time_millis_training: 27.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.934, kappa: 0.8611, kb_relative_information_score: 2876.0898, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9347, predictive_accuracy: 0.9344, prior_entropy: 0.9674, recall: 0.9344, relative_absolute_error: 0.427, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.5339, scimark_benchmark: 1305.6756, usercpu_time_millis: 92.886, usercpu_time_millis_testing: 6.001, usercpu_time_millis_training: 86.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9507, kappa: 0.8966, kb_relative_information_score: 3592.5385, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9509, predictive_accuracy: 0.9509, prior_entropy: 0.9674, recall: 0.9509, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.4178, scimark_benchmark: 1303.2642, usercpu_time_millis: 90.392, usercpu_time_millis_testing: 5.023, usercpu_time_millis_training: 85.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9233, kappa: 0.8383, kb_relative_information_score: 2382.4997, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9248, predictive_accuracy: 0.9239, prior_entropy: 0.9674, recall: 0.9239, relative_absolute_error: 0.5429, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.6158, scimark_benchmark: 1302.7776, usercpu_time_millis: 40.801, usercpu_time_millis_testing: 3.307, usercpu_time_millis_training: 37.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9464, kappa: 0.8873, kb_relative_information_score: 3528.079, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9466, predictive_accuracy: 0.9465, prior_entropy: 0.9674, recall: 0.9465, relative_absolute_error: 0.2629, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.4337, scimark_benchmark: 1288.8149, usercpu_time_millis: 157.635, usercpu_time_millis_testing: 8.951, usercpu_time_millis_training: 148.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9529, kappa: 0.9011, kb_relative_information_score: 3674.6688, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9531, predictive_accuracy: 0.9531, prior_entropy: 0.9674, recall: 0.9531, relative_absolute_error: 0.2266, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.4047, scimark_benchmark: 1292.9927, usercpu_time_millis: 359.917, usercpu_time_millis_testing: 18.487, usercpu_time_millis_training: 341.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9458, kappa: 0.8862, kb_relative_information_score: 3304.7971, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9463, predictive_accuracy: 0.9461, prior_entropy: 0.9674, recall: 0.9461, relative_absolute_error: 0.3224, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.4595, scimark_benchmark: 1303.8922, usercpu_time_millis: 119.737, usercpu_time_millis_testing: 9.297, usercpu_time_millis_training: 110.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9384, kappa: 0.8706, kb_relative_information_score: 3372.3214, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9389, predictive_accuracy: 0.9387, prior_entropy: 0.9674, recall: 0.9387, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.4655, scimark_benchmark: 1291.8722, usercpu_time_millis: 118.33, usercpu_time_millis_testing: 7.011, usercpu_time_millis_training: 111.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9307, kappa: 0.8542, kb_relative_information_score: 2963.8744, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9314, predictive_accuracy: 0.9311, prior_entropy: 0.9674, recall: 0.9311, relative_absolute_error: 0.4017, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.5319, scimark_benchmark: 1288.9985, usercpu_time_millis: 41.763, usercpu_time_millis_testing: 3.828, usercpu_time_millis_training: 37.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9529, kappa: 0.9012, kb_relative_information_score: 3659.0914, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9531, predictive_accuracy: 0.9531, prior_entropy: 0.9674, recall: 0.9531, relative_absolute_error: 0.2305, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.4088, scimark_benchmark: 1286.1232, usercpu_time_millis: 112.765, usercpu_time_millis_testing: 5.063, usercpu_time_millis_training: 107.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9439, kappa: 0.882, kb_relative_information_score: 3313.189, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9444, predictive_accuracy: 0.9441, prior_entropy: 0.9674, recall: 0.9441, relative_absolute_error: 0.3197, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.4603, scimark_benchmark: 1276.7165, usercpu_time_millis: 22.778, usercpu_time_millis_testing: 1.951, usercpu_time_millis_training: 20.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9378, kappa: 0.8691, kb_relative_information_score: 3297.0388, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9382, predictive_accuracy: 0.9381, prior_entropy: 0.9674, recall: 0.9381, relative_absolute_error: 0.3193, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4776, scimark_benchmark: 1301.8184, usercpu_time_millis: 123.813, usercpu_time_millis_testing: 7.726, usercpu_time_millis_training: 116.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9516, kappa: 0.8982, kb_relative_information_score: 3544.7863, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9519, predictive_accuracy: 0.9518, prior_entropy: 0.9674, recall: 0.9518, relative_absolute_error: 0.2612, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.206, root_relative_squared_error: 0.4215, scimark_benchmark: 1301.7904, usercpu_time_millis: 275.218, usercpu_time_millis_testing: 18.619, usercpu_time_millis_training: 256.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9396, kappa: 0.873, kb_relative_information_score: 3376.5655, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9399, predictive_accuracy: 0.9398, prior_entropy: 0.9674, recall: 0.9398, relative_absolute_error: 0.3014, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4574, scimark_benchmark: 1300.9047, usercpu_time_millis: 118.479, usercpu_time_millis_testing: 6.803, usercpu_time_millis_training: 111.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9273, kappa: 0.847, kb_relative_information_score: 2796.5801, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9284, predictive_accuracy: 0.9278, prior_entropy: 0.9674, recall: 0.9278, relative_absolute_error: 0.4427, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.5554, scimark_benchmark: 1287.5205, usercpu_time_millis: 71.045, usercpu_time_millis_testing: 4.904, usercpu_time_millis_training: 66.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9255, kappa: 0.8427, kb_relative_information_score: 2639.745, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9283, predictive_accuracy: 0.9263, prior_entropy: 0.9674, recall: 0.9263, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2785, root_relative_squared_error: 0.57, scimark_benchmark: 1288.097, usercpu_time_millis: 140.598, usercpu_time_millis_testing: 13.721, usercpu_time_millis_training: 126.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9302, kappa: 0.8532, kb_relative_information_score: 2976.7027, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.931, predictive_accuracy: 0.9307, prior_entropy: 0.9674, recall: 0.9307, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.5302, scimark_benchmark: 1299.6378, usercpu_time_millis: 214.212, usercpu_time_millis_testing: 10.403, usercpu_time_millis_training: 203.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9412, kappa: 0.8764, kb_relative_information_score: 3219.3652, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9418, predictive_accuracy: 0.9415, prior_entropy: 0.9674, recall: 0.9415, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4757, scimark_benchmark: 1282.4167, usercpu_time_millis: 46.625, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 46.451,
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: 0.9826, f_measure: 0.9411, kappa: 0.8762, kb_relative_information_score: 3444.9545, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9414, predictive_accuracy: 0.9413, prior_entropy: 0.9674, recall: 0.9413, relative_absolute_error: 0.2827, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.4517, scimark_benchmark: 1292.7441, usercpu_time_millis: 168.304, usercpu_time_millis_testing: 9.964, usercpu_time_millis_training: 158.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9408, kappa: 0.8757, kb_relative_information_score: 3417.2996, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9412, predictive_accuracy: 0.9411, prior_entropy: 0.9674, recall: 0.9411, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4528, scimark_benchmark: 1284.5904, usercpu_time_millis: 84.954, usercpu_time_millis_testing: 5.504, usercpu_time_millis_training: 79.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9325, kappa: 0.858, kb_relative_information_score: 2948.5289, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.933, predictive_accuracy: 0.9328, prior_entropy: 0.9674, recall: 0.9328, relative_absolute_error: 0.4053, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.5329, scimark_benchmark: 1280.1686, usercpu_time_millis: 80.117, usercpu_time_millis_testing: 4.996, usercpu_time_millis_training: 75.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9505, kappa: 0.8961, kb_relative_information_score: 3630.7623, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9507, predictive_accuracy: 0.9507, prior_entropy: 0.9674, recall: 0.9507, relative_absolute_error: 0.2373, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.4141, scimark_benchmark: 1303.2571, usercpu_time_millis: 315.406, usercpu_time_millis_testing: 13.849, usercpu_time_millis_training: 301.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9521, kappa: 0.8994, kb_relative_information_score: 3676.949, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9522, predictive_accuracy: 0.9522, prior_entropy: 0.9674, recall: 0.9522, relative_absolute_error: 0.2251, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4082, scimark_benchmark: 1273.8821, usercpu_time_millis: 369.635, usercpu_time_millis_testing: 15.934, usercpu_time_millis_training: 353.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9074, kappa: 0.8043, kb_relative_information_score: 1977.5176, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9124, predictive_accuracy: 0.9089, prior_entropy: 0.9674, recall: 0.9089, relative_absolute_error: 0.6344, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6813, scimark_benchmark: 1297.2624, usercpu_time_millis: 59.784, usercpu_time_millis_testing: 5.425, usercpu_time_millis_training: 54.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9457, kappa: 0.886, kb_relative_information_score: 3508.1248, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9459, predictive_accuracy: 0.9459, prior_entropy: 0.9674, recall: 0.9459, relative_absolute_error: 0.2683, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.435, scimark_benchmark: 1303.8829, usercpu_time_millis: 56.3, usercpu_time_millis_testing: 3.428, usercpu_time_millis_training: 52.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9417, kappa: 0.8775, kb_relative_information_score: 3409.7647, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9421, predictive_accuracy: 0.942, prior_entropy: 0.9674, recall: 0.942, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4519, scimark_benchmark: 1283.8842, usercpu_time_millis: 118.429, usercpu_time_millis_testing: 8.212, usercpu_time_millis_training: 110.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9505, kappa: 0.8961, kb_relative_information_score: 3626.2704, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9507, predictive_accuracy: 0.9507, prior_entropy: 0.9674, recall: 0.9507, relative_absolute_error: 0.2385, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.4152, scimark_benchmark: 1287.0781, usercpu_time_millis: 185.455, usercpu_time_millis_testing: 8.817, usercpu_time_millis_training: 176.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9519, kappa: 0.899, kb_relative_information_score: 3672.985, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9519, predictive_accuracy: 0.952, prior_entropy: 0.9674, recall: 0.952, relative_absolute_error: 0.2263, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4085, scimark_benchmark: 1291.4862, usercpu_time_millis: 129.665, usercpu_time_millis_testing: 5.359, usercpu_time_millis_training: 124.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.954, kappa: 0.9035, kb_relative_information_score: 3730.1784, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 0.9674, recall: 0.9541, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.3978, scimark_benchmark: 1262.0636, usercpu_time_millis: 79.555, usercpu_time_millis_testing: 3.866, usercpu_time_millis_training: 75.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9238, kappa: 0.8397, kb_relative_information_score: 2720.6647, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9248, predictive_accuracy: 0.9244, prior_entropy: 0.9674, recall: 0.9244, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2794, root_relative_squared_error: 0.5719, scimark_benchmark: 1307.0856, usercpu_time_millis: 6.217, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 5.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.91, kappa: 0.8098, kb_relative_information_score: 2061.1181, mean_absolute_error: 0.2942, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9144, predictive_accuracy: 0.9113, prior_entropy: 0.9674, recall: 0.9113, relative_absolute_error: 0.6161, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.6665, scimark_benchmark: 1285.4075, usercpu_time_millis: 57.212, usercpu_time_millis_testing: 5.965, usercpu_time_millis_training: 51.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9505, kappa: 0.8961, kb_relative_information_score: 3593.212, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9507, predictive_accuracy: 0.9507, prior_entropy: 0.9674, recall: 0.9507, relative_absolute_error: 0.2476, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4174, scimark_benchmark: 1289.2413, usercpu_time_millis: 245.696, usercpu_time_millis_testing: 14.692, usercpu_time_millis_training: 231.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9239, kappa: 0.8394, kb_relative_information_score: 2636.1727, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9269, predictive_accuracy: 0.9248, prior_entropy: 0.9674, recall: 0.9248, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.5707, scimark_benchmark: 1293.1595, usercpu_time_millis: 61.956, usercpu_time_millis_testing: 5.365, usercpu_time_millis_training: 56.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9518, kappa: 0.8989, kb_relative_information_score: 3611.9058, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.952, predictive_accuracy: 0.952, prior_entropy: 0.9674, recall: 0.952, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4134, scimark_benchmark: 1290.0413, usercpu_time_millis: 78.82, usercpu_time_millis_testing: 4.178, usercpu_time_millis_training: 74.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9262, kappa: 0.8446, kb_relative_information_score: 2660.427, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9274, predictive_accuracy: 0.9268, prior_entropy: 0.9674, recall: 0.9268, relative_absolute_error: 0.4761, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.5749, scimark_benchmark: 1297.8128, usercpu_time_millis: 74.558, usercpu_time_millis_testing: 4.592, usercpu_time_millis_training: 69.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9328, kappa: 0.8587, kb_relative_information_score: 2849.3115, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9337, predictive_accuracy: 0.9333, prior_entropy: 0.9674, recall: 0.9333, relative_absolute_error: 0.4333, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.5386, scimark_benchmark: 1283.8488, usercpu_time_millis: 153.12, usercpu_time_millis_testing: 12.401, usercpu_time_millis_training: 140.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9362, kappa: 0.8659, kb_relative_information_score: 3157.0089, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9367, predictive_accuracy: 0.9365, prior_entropy: 0.9674, recall: 0.9365, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.4965, scimark_benchmark: 1294.1729, usercpu_time_millis: 213.709, usercpu_time_millis_testing: 9.83, usercpu_time_millis_training: 203.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9344, kappa: 0.8618, kb_relative_information_score: 2824.5663, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9353, predictive_accuracy: 0.9348, prior_entropy: 0.9674, recall: 0.9348, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.265, root_relative_squared_error: 0.5422, scimark_benchmark: 1303.9744, usercpu_time_millis: 36.577, usercpu_time_millis_testing: 1.972, usercpu_time_millis_training: 34.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9362, kappa: 0.8658, kb_relative_information_score: 3097.4512, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9368, predictive_accuracy: 0.9365, prior_entropy: 0.9674, recall: 0.9365, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.503, scimark_benchmark: 1301.0032, usercpu_time_millis: 34.168, usercpu_time_millis_testing: 2.29, usercpu_time_millis_training: 31.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.936, kappa: 0.8655, kb_relative_information_score: 3214.5493, mean_absolute_error: 0.1624, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9365, predictive_accuracy: 0.9363, prior_entropy: 0.9674, recall: 0.9363, relative_absolute_error: 0.34, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.4921, scimark_benchmark: 1302.1983, usercpu_time_millis: 115.14, usercpu_time_millis_testing: 8.102, usercpu_time_millis_training: 107.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.914, kappa: 0.8184, kb_relative_information_score: 2583.8737, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9179, predictive_accuracy: 0.9152, prior_entropy: 0.9674, recall: 0.9152, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.5885, scimark_benchmark: 1270.0926, usercpu_time_millis: 3.141, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 2.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.7974, kappa: 0.5743, kb_relative_information_score: 1101.3031, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8514, predictive_accuracy: 0.8129, prior_entropy: 0.9674, recall: 0.8129, relative_absolute_error: 0.8141, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8278, scimark_benchmark: 1297.3751, usercpu_time_millis: 19.55, usercpu_time_millis_testing: 2.149, usercpu_time_millis_training: 17.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9412, kappa: 0.8764, kb_relative_information_score: 3206.3957, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9418, predictive_accuracy: 0.9415, prior_entropy: 0.9674, recall: 0.9415, relative_absolute_error: 0.3464, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.4778, scimark_benchmark: 1290.5457, usercpu_time_millis: 112.283, usercpu_time_millis_testing: 7.287, usercpu_time_millis_training: 104.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9355, kappa: 0.8644, kb_relative_information_score: 3155.4958, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.9674, recall: 0.9359, relative_absolute_error: 0.3558, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.4965, scimark_benchmark: 1287.6003, usercpu_time_millis: 95.807, usercpu_time_millis_testing: 8.218, usercpu_time_millis_training: 87.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9319, kappa: 0.8567, kb_relative_information_score: 2907.5853, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.933, predictive_accuracy: 0.9324, prior_entropy: 0.9674, recall: 0.9324, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.5314, scimark_benchmark: 1289.5845, usercpu_time_millis: 74.303, usercpu_time_millis_testing: 6.442, usercpu_time_millis_training: 67.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9525, kappa: 0.9003, kb_relative_information_score: 3627.923, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9526, predictive_accuracy: 0.9526, prior_entropy: 0.9674, recall: 0.9526, relative_absolute_error: 0.2383, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.4132, scimark_benchmark: 1300.7101, usercpu_time_millis: 81.125, usercpu_time_millis_testing: 5.432, usercpu_time_millis_training: 75.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9446, kappa: 0.8836, kb_relative_information_score: 3436.6692, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9449, predictive_accuracy: 0.9448, prior_entropy: 0.9674, recall: 0.9448, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.4445, scimark_benchmark: 1301.2241, usercpu_time_millis: 63.68, usercpu_time_millis_testing: 3.259, usercpu_time_millis_training: 60.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9301, kappa: 0.8529, kb_relative_information_score: 2615.5336, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9314, predictive_accuracy: 0.9307, prior_entropy: 0.9674, recall: 0.9307, relative_absolute_error: 0.4889, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.5767, scimark_benchmark: 1299.0152, usercpu_time_millis: 113.643, usercpu_time_millis_testing: 9.105, usercpu_time_millis_training: 104.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9483, kappa: 0.8914, kb_relative_information_score: 3508.994, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9486, predictive_accuracy: 0.9485, prior_entropy: 0.9674, recall: 0.9485, relative_absolute_error: 0.2695, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.4301, scimark_benchmark: 1295.0313, usercpu_time_millis: 37.625, usercpu_time_millis_testing: 2.203, usercpu_time_millis_training: 35.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9264, kappa: 0.8448, kb_relative_information_score: 2479.3052, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9278, predictive_accuracy: 0.927, prior_entropy: 0.9674, recall: 0.927, relative_absolute_error: 0.5208, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.5989, scimark_benchmark: 1301.9957, usercpu_time_millis: 93.922, usercpu_time_millis_testing: 6.015, usercpu_time_millis_training: 87.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.936, kappa: 0.8653, kb_relative_information_score: 2953.0742, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9367, predictive_accuracy: 0.9363, prior_entropy: 0.9674, recall: 0.9363, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.5214, scimark_benchmark: 1295.4362, usercpu_time_millis: 18.064, usercpu_time_millis_testing: 1.354, usercpu_time_millis_training: 16.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9496, kappa: 0.8941, kb_relative_information_score: 3474.3408, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9499, predictive_accuracy: 0.9498, prior_entropy: 0.9674, recall: 0.9498, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.4353, scimark_benchmark: 1288.6708, usercpu_time_millis: 21.972, usercpu_time_millis_testing: 2.204, usercpu_time_millis_training: 19.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9521, kappa: 0.8994, kb_relative_information_score: 3656.7019, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9522, predictive_accuracy: 0.9522, prior_entropy: 0.9674, recall: 0.9522, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.408, scimark_benchmark: 1288.5984, usercpu_time_millis: 81.408, usercpu_time_millis_testing: 4.184, usercpu_time_millis_training: 77.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.926, kappa: 0.8443, kb_relative_information_score: 2776.1911, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.927, predictive_accuracy: 0.9265, prior_entropy: 0.9674, recall: 0.9265, relative_absolute_error: 0.447, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.5601, scimark_benchmark: 1297.7928, usercpu_time_millis: 36.353, usercpu_time_millis_testing: 1.635, usercpu_time_millis_training: 34.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9266, kappa: 0.8451, kb_relative_information_score: 2670.5927, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9294, predictive_accuracy: 0.9274, prior_entropy: 0.9674, recall: 0.9274, relative_absolute_error: 0.4769, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.5647, scimark_benchmark: 1300.658, usercpu_time_millis: 173.019, usercpu_time_millis_testing: 15.342, usercpu_time_millis_training: 157.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9472, kappa: 0.889, kb_relative_information_score: 3437.7734, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9475, predictive_accuracy: 0.9474, prior_entropy: 0.9674, recall: 0.9474, relative_absolute_error: 0.2877, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.4412, scimark_benchmark: 1289.1073, usercpu_time_millis: 160.087, usercpu_time_millis_testing: 11.828, usercpu_time_millis_training: 148.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9074, kappa: 0.8042, kb_relative_information_score: 1954.7897, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9127, predictive_accuracy: 0.9089, prior_entropy: 0.9674, recall: 0.9089, relative_absolute_error: 0.6394, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.685, scimark_benchmark: 1279.5722, usercpu_time_millis: 31.072, usercpu_time_millis_testing: 3.115, usercpu_time_millis_training: 27.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9428, kappa: 0.8798, kb_relative_information_score: 3360.7632, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9432, predictive_accuracy: 0.9431, prior_entropy: 0.9674, recall: 0.9431, relative_absolute_error: 0.3066, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.4556, scimark_benchmark: 1305.9047, usercpu_time_millis: 220.211, usercpu_time_millis_testing: 18.811, usercpu_time_millis_training: 201.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9376, kappa: 0.8687, kb_relative_information_score: 3346.2355, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.938, predictive_accuracy: 0.9378, prior_entropy: 0.9674, recall: 0.9378, relative_absolute_error: 0.308, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.4659, scimark_benchmark: 1300.1586, usercpu_time_millis: 168.62, usercpu_time_millis_testing: 11.952, usercpu_time_millis_training: 156.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9262, kappa: 0.8446, kb_relative_information_score: 2529.5494, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9274, predictive_accuracy: 0.9268, prior_entropy: 0.9674, recall: 0.9268, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.5949, scimark_benchmark: 1283.3452, usercpu_time_millis: 13.941, usercpu_time_millis_testing: 2.175, usercpu_time_millis_training: 11.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9467, kappa: 0.888, kb_relative_information_score: 3363.9371, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9472, predictive_accuracy: 0.947, prior_entropy: 0.9674, recall: 0.947, relative_absolute_error: 0.3075, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.4497, scimark_benchmark: 1304.8566, usercpu_time_millis: 199.384, usercpu_time_millis_testing: 14.388, usercpu_time_millis_training: 184.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9492, kappa: 0.8933, kb_relative_information_score: 3618.9915, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9494, predictive_accuracy: 0.9494, prior_entropy: 0.9674, recall: 0.9494, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4177, scimark_benchmark: 1290.1496, usercpu_time_millis: 296.053, usercpu_time_millis_testing: 13.609, usercpu_time_millis_training: 282.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.938, kappa: 0.8697, kb_relative_information_score: 3346.6549, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9384, predictive_accuracy: 0.9383, prior_entropy: 0.9674, recall: 0.9383, relative_absolute_error: 0.3078, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.4662, scimark_benchmark: 1303.0906, usercpu_time_millis: 194.508, usercpu_time_millis_testing: 12.403, usercpu_time_millis_training: 182.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9369, kappa: 0.8673, kb_relative_information_score: 3152.5868, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9374, predictive_accuracy: 0.9372, prior_entropy: 0.9674, recall: 0.9372, relative_absolute_error: 0.3569, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.495, scimark_benchmark: 1304.2836, usercpu_time_millis: 186.897, usercpu_time_millis_testing: 11.405, usercpu_time_millis_training: 175.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9489, kappa: 0.8926, kb_relative_information_score: 3381.492, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9494, predictive_accuracy: 0.9491, prior_entropy: 0.9674, recall: 0.9491, relative_absolute_error: 0.3035, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4458, scimark_benchmark: 1291.9159, usercpu_time_millis: 99.586, usercpu_time_millis_testing: 6.878, usercpu_time_millis_training: 92.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.937, kappa: 0.8675, kb_relative_information_score: 2994.8929, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9378, predictive_accuracy: 0.9374, prior_entropy: 0.9674, recall: 0.9374, relative_absolute_error: 0.3978, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.515, scimark_benchmark: 1284.1326, usercpu_time_millis: 154.943, usercpu_time_millis_testing: 13.531, usercpu_time_millis_training: 141.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.946, kappa: 0.8865, kb_relative_information_score: 3360.2603, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9466, predictive_accuracy: 0.9463, prior_entropy: 0.9674, recall: 0.9463, relative_absolute_error: 0.3085, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.4506, scimark_benchmark: 1295.5834, usercpu_time_millis: 143.1, usercpu_time_millis_testing: 11.911, usercpu_time_millis_training: 131.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9417, kappa: 0.8776, kb_relative_information_score: 3262.8576, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9421, predictive_accuracy: 0.942, prior_entropy: 0.9674, recall: 0.942, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.23, root_relative_squared_error: 0.4707, scimark_benchmark: 1288.6859, usercpu_time_millis: 241.416, usercpu_time_millis_testing: 14.917, usercpu_time_millis_training: 226.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9481, kappa: 0.891, kb_relative_information_score: 3546.0602, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9483, predictive_accuracy: 0.9483, prior_entropy: 0.9674, recall: 0.9483, relative_absolute_error: 0.2585, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.43, scimark_benchmark: 1286.5521, usercpu_time_millis: 136.895, usercpu_time_millis_testing: 6.072, usercpu_time_millis_training: 130.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9063, kappa: 0.802, kb_relative_information_score: 1987.5885, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9114, predictive_accuracy: 0.9078, prior_entropy: 0.9674, recall: 0.9078, relative_absolute_error: 0.6322, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.679, scimark_benchmark: 1287.8743, usercpu_time_millis: 69.06, usercpu_time_millis_testing: 6.705, usercpu_time_millis_training: 62.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9422, kappa: 0.8785, kb_relative_information_score: 3491.7762, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9425, predictive_accuracy: 0.9424, prior_entropy: 0.9674, recall: 0.9424, relative_absolute_error: 0.2713, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.443, scimark_benchmark: 1302.7953, usercpu_time_millis: 66.697, usercpu_time_millis_testing: 3.129, usercpu_time_millis_training: 63.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9518, kappa: 0.8988, kb_relative_information_score: 3595.9181, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.952, predictive_accuracy: 0.952, prior_entropy: 0.9674, recall: 0.952, relative_absolute_error: 0.2477, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.4145, scimark_benchmark: 1288.0001, usercpu_time_millis: 300.045, usercpu_time_millis_testing: 18.666, usercpu_time_millis_training: 281.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9267, kappa: 0.8456, kb_relative_information_score: 2706.7222, mean_absolute_error: 0.222, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9278, predictive_accuracy: 0.9272, prior_entropy: 0.9674, recall: 0.9272, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.568, scimark_benchmark: 1300.9526, usercpu_time_millis: 50.248, usercpu_time_millis_testing: 4.595, usercpu_time_millis_training: 45.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9523, kappa: 0.8998, kb_relative_information_score: 3663.69, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9524, predictive_accuracy: 0.9524, prior_entropy: 0.9674, recall: 0.9524, relative_absolute_error: 0.229, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4084, scimark_benchmark: 1273.5728, usercpu_time_millis: 192.106, usercpu_time_millis_testing: 8.047, usercpu_time_millis_training: 184.059,

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