Task
Supervised Data Stream Classification on BNG(waveform-5000,nominal,1000000)

Supervised Data Stream Classification on BNG(waveform-5000,nominal,1000000)

Task 186 Supervised Data Stream Classification BNG(waveform-5000,nominal,1000000) 44 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8267, kappa: 0.742, kb_relative_information_score: 515582.0929, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8281, predictive_accuracy: 0.8279, prior_entropy: 1.585, recall: 0.8279, relative_absolute_error: 0.601, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.7059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, f_measure: 0.4277, kappa: 0.2781, kb_relative_information_score: 295688.1885, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.3955, predictive_accuracy: 0.5183, prior_entropy: 1.585, recall: 0.5183, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5118, root_relative_squared_error: 1.0858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.8333, kappa: 0.7507, kb_relative_information_score: 504607.1346, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8333, predictive_accuracy: 0.8338, prior_entropy: 1.585, recall: 0.8338, relative_absolute_error: 0.6144, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.7065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8082, kappa: 0.7143, kb_relative_information_score: 609341.6837, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8094, predictive_accuracy: 0.8095, prior_entropy: 1.585, recall: 0.8095, relative_absolute_error: 0.4715, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3058, root_relative_squared_error: 0.6488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.8091, kappa: 0.7241, kb_relative_information_score: 721367.9266, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8291, predictive_accuracy: 0.8159, prior_entropy: 1.585, recall: 0.8159, relative_absolute_error: 0.3181, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8347, kappa: 0.7525, kb_relative_information_score: 701445.7147, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8346, predictive_accuracy: 0.835, prior_entropy: 1.585, recall: 0.835, relative_absolute_error: 0.3565, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.5981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1706, kb_relative_information_score: 93408.5282, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.1141, predictive_accuracy: 0.3378, prior_entropy: 1.585, recall: 0.3378, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6644, root_relative_squared_error: 1.4095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6462, f_measure: 0.4341, kappa: 0.2905, kb_relative_information_score: 351910.9215, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.3934, predictive_accuracy: 0.5266, prior_entropy: 1.585, recall: 0.5266, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5616, root_relative_squared_error: 1.1912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6514, f_measure: 0.4086, kappa: 0.2498, kb_relative_information_score: 306519.7793, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.3621, predictive_accuracy: 0.4996, prior_entropy: 1.585, recall: 0.4996, relative_absolute_error: 0.7647, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5549, root_relative_squared_error: 1.1771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8057, kappa: 0.71, kb_relative_information_score: 620800.2681, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8063, predictive_accuracy: 0.8066, prior_entropy: 1.585, recall: 0.8066, relative_absolute_error: 0.4577, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3063, root_relative_squared_error: 0.6498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7004, f_measure: 0.4614, kappa: 0.2895, kb_relative_information_score: 198506.6377, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.5351, predictive_accuracy: 0.5252, prior_entropy: 1.585, recall: 0.5252, relative_absolute_error: 0.8733, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6212, f_measure: 0.4795, kappa: 0.2428, kb_relative_information_score: 308189.6375, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.4938, predictive_accuracy: 0.4947, prior_entropy: 1.585, recall: 0.4947, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5804, root_relative_squared_error: 1.2312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8082, kappa: 0.7137, kb_relative_information_score: 610782.7039, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8089, predictive_accuracy: 0.8091, prior_entropy: 1.585, recall: 0.8091, relative_absolute_error: 0.4734, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.6475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.8119, kappa: 0.7174, kb_relative_information_score: 735122.3439, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8122, predictive_accuracy: 0.8116, prior_entropy: 1.585, recall: 0.8116, relative_absolute_error: 0.3008, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.32, root_relative_squared_error: 0.6789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.7014, kappa: 0.5535, kb_relative_information_score: 500631.593, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.7078, predictive_accuracy: 0.7025, prior_entropy: 1.585, recall: 0.7025, relative_absolute_error: 0.5823, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.8241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.7929, kappa: 0.7015, kb_relative_information_score: 701317.8882, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8153, predictive_accuracy: 0.8007, prior_entropy: 1.585, recall: 0.8007, relative_absolute_error: 0.3395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, f_measure: 0.3802, kappa: 0.2198, kb_relative_information_score: 183976.7911, mean_absolute_error: 0.3853, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.4934, predictive_accuracy: 0.4779, prior_entropy: 1.585, recall: 0.4779, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.439, root_relative_squared_error: 0.9312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.8341, kappa: 0.7523, kb_relative_information_score: 714067.4546, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8345, predictive_accuracy: 0.8348, prior_entropy: 1.585, recall: 0.8348, relative_absolute_error: 0.3405, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.6031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1706, kb_relative_information_score: 93408.5282, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.1141, predictive_accuracy: 0.3378, prior_entropy: 1.585, recall: 0.3378, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6644, root_relative_squared_error: 1.4095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.7117, kappa: 0.5709, kb_relative_information_score: 557596.6544, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.7132, predictive_accuracy: 0.7138, prior_entropy: 1.585, recall: 0.7138, relative_absolute_error: 0.505, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6337, f_measure: 0.419, kappa: 0.2663, kb_relative_information_score: 329981.1286, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.3752, predictive_accuracy: 0.5106, prior_entropy: 1.585, ram_hours: 0, recall: 0.5106, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5712, root_relative_squared_error: 1.2117, run_cpu_time: 15.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1706, kb_relative_information_score: 93408.5282, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.1141, predictive_accuracy: 0.3378, prior_entropy: 1.585, ram_hours: 0, recall: 0.3378, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6644, root_relative_squared_error: 1.4095, run_cpu_time: 15.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.7117, kappa: 0.5709, kb_relative_information_score: 557596.6544, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.7132, predictive_accuracy: 0.7138, prior_entropy: 1.585, ram_hours: 0, recall: 0.7138, relative_absolute_error: 0.505, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8477, run_cpu_time: 16.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1706, kb_relative_information_score: 93306.6382, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.1141, predictive_accuracy: 0.3378, prior_entropy: 1.585, ram_hours: 0.0049, recall: 0.3378, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6643, root_relative_squared_error: 1.4091, run_cpu_time: 87.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.8043, kappa: 0.7162, kb_relative_information_score: 712689.7001, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8203, predictive_accuracy: 0.8106, prior_entropy: 1.585, ram_hours: 0, recall: 0.8106, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6652, run_cpu_time: 25.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8351, kappa: 0.7538, kb_relative_information_score: 580017.145, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8355, predictive_accuracy: 0.8359, prior_entropy: 1.585, ram_hours: 0.0009, recall: 0.8359, relative_absolute_error: 0.5229, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.6481, run_cpu_time: 190.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.8342, kappa: 0.7525, kb_relative_information_score: 714666.7563, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8347, predictive_accuracy: 0.835, prior_entropy: 1.585, ram_hours: 0, recall: 0.835, relative_absolute_error: 0.3397, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.6026, run_cpu_time: 35.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.334, kappa: 0.0009, kb_relative_information_score: 88191.0015, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.334, predictive_accuracy: 0.334, prior_entropy: 1.585, ram_hours: 0, recall: 0.334, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.4135, run_cpu_time: 15.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8396, kappa: 0.7608, kb_relative_information_score: 711234.0405, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8403, predictive_accuracy: 0.8405, prior_entropy: 1.585, ram_hours: 0.0012, recall: 0.8405, relative_absolute_error: 0.3478, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.5851, run_cpu_time: 277.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.7015, kappa: 0.5546, kb_relative_information_score: 515407.1868, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.7067, predictive_accuracy: 0.7029, prior_entropy: 1.585, ram_hours: 0, recall: 0.7029, relative_absolute_error: 0.5649, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.7897, run_cpu_time: 17.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1706, kb_relative_information_score: 93408.5282, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.1141, predictive_accuracy: 0.3378, prior_entropy: 1.585, ram_hours: 0, recall: 0.3378, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6644, root_relative_squared_error: 1.4095, run_cpu_time: 18.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.1707, kappa: -0, kb_relative_information_score: 1893.5405, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.3019, predictive_accuracy: 0.3378, prior_entropy: 1.585, ram_hours: 0, recall: 0.3378, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, run_cpu_time: 17.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.7865, kappa: 0.6786, kb_relative_information_score: 488162.9838, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.7885, predictive_accuracy: 0.7858, prior_entropy: 1.585, ram_hours: 0, recall: 0.7858, relative_absolute_error: 0.6161, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7482, run_cpu_time: 22.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.7242, kappa: 0.5887, kb_relative_information_score: 525578.1301, mean_absolute_error: 0.2465, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.7243, predictive_accuracy: 0.7258, prior_entropy: 1.585, ram_hours: 0, recall: 0.7258, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7478, run_cpu_time: 21.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.637, kappa: 0.4753, kb_relative_information_score: 401981.6489, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.6587, predictive_accuracy: 0.6497, prior_entropy: 1.585, ram_hours: 0, recall: 0.6497, relative_absolute_error: 0.681, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.8258, run_cpu_time: 71.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.727, kappa: 0.5914, kb_relative_information_score: 481076.17, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.7267, predictive_accuracy: 0.7275, prior_entropy: 1.585, ram_hours: 0.117, recall: 0.7275, relative_absolute_error: 0.6086, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.7548, run_cpu_time: 1308.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.4836, kappa: 0.2275, kb_relative_information_score: 296482.1391, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.5477, predictive_accuracy: 0.4862, prior_entropy: 1.585, ram_hours: 0, recall: 0.4862, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5851, root_relative_squared_error: 1.2411, run_cpu_time: 15.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.839, kappa: 0.7597, kb_relative_information_score: 711019.7728, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8396, predictive_accuracy: 0.8398, prior_entropy: 1.585, ram_hours: 0.0008, recall: 0.8398, relative_absolute_error: 0.3477, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.5872, run_cpu_time: 166.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.7554, kappa: 0.6331, kb_relative_information_score: 467170.5947, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.7555, predictive_accuracy: 0.7554, prior_entropy: 1.585, ram_hours: 0.0038, recall: 0.7554, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7449, run_cpu_time: 18683.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, f_measure: 0.4341, kappa: 0.2905, kb_relative_information_score: 351945.1226, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.3934, predictive_accuracy: 0.5266, prior_entropy: 1.585, ram_hours: 0, recall: 0.5266, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5618, root_relative_squared_error: 1.1917, run_cpu_time: 16.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.8342, kappa: 0.7525, kb_relative_information_score: 714666.7563, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8347, predictive_accuracy: 0.835, prior_entropy: 1.585, ram_hours: 0, recall: 0.835, relative_absolute_error: 0.3397, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.6026, run_cpu_time: 29.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.7547, kappa: 0.6315, kb_relative_information_score: 467129.1126, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.7551, predictive_accuracy: 0.7544, prior_entropy: 1.585, ram_hours: 0.0001, recall: 0.7544, relative_absolute_error: 0.6272, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7451, run_cpu_time: 845.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.8092, kappa: 0.7242, kb_relative_information_score: 721391.4545, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8291, predictive_accuracy: 0.816, prior_entropy: 1.585, ram_hours: 0, recall: 0.816, relative_absolute_error: 0.3181, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6561, run_cpu_time: 24.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8429, kappa: 0.7656, kb_relative_information_score: 710174.5099, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8435, predictive_accuracy: 0.8437, prior_entropy: 1.585, ram_hours: 0.0123, recall: 0.8437, relative_absolute_error: 0.3507, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.273, root_relative_squared_error: 0.5792, run_cpu_time: 430.69,

    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

    Given a dataset with a nominal target, various data samples of increasing size are defined. A model is build for each individual data sample; from this a learning curve can be drawn.

    Given inputs

    Expected outputs

    evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
    predictions The desired output format Predictions (optional)

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