OpenML
Supervised Data Stream Classification on LED(50000)

Supervised Data Stream Classification on LED(50000)

Task 192 Supervised Data Stream Classification LED(50000) 287 runs submitted
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  • ecmlpkdd2015 streamensembles streams study_11 study_16
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.7319, kappa: 0.7027, kb_relative_information_score: 720153.204, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7317, predictive_accuracy: 0.7324, prior_entropy: 3.3219, recall: 0.7324, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.7711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.7059, kappa: 0.6742, kb_relative_information_score: 693350.4395, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7055, predictive_accuracy: 0.7068, prior_entropy: 3.3219, recall: 0.7068, relative_absolute_error: 0.3258, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.8072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, f_measure: 0.593, kappa: 0.5515, kb_relative_information_score: 577887.3092, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.5928, predictive_accuracy: 0.5964, prior_entropy: 3.3219, recall: 0.5964, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.9471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7342, kappa: 0.7052, kb_relative_information_score: 722493.6093, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7339, predictive_accuracy: 0.7346, prior_entropy: 3.3219, recall: 0.7346, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.7679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.7344, kappa: 0.7054, kb_relative_information_score: 722681.8456, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7341, predictive_accuracy: 0.7348, prior_entropy: 3.3219, recall: 0.7348, relative_absolute_error: 0.2946, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.7677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.7343, kappa: 0.7053, kb_relative_information_score: 722649.4271, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7341, predictive_accuracy: 0.7348, prior_entropy: 3.3219, recall: 0.7348, relative_absolute_error: 0.2947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.7677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7343, kappa: 0.7053, kb_relative_information_score: 722605.5053, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7341, predictive_accuracy: 0.7347, prior_entropy: 3.3219, recall: 0.7347, relative_absolute_error: 0.2947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.7678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7342, kappa: 0.7051, kb_relative_information_score: 722474.7856, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.734, predictive_accuracy: 0.7346, prior_entropy: 3.3219, recall: 0.7346, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.7679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.7343, kappa: 0.7053, kb_relative_information_score: 722643.1526, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7341, predictive_accuracy: 0.7348, prior_entropy: 3.3219, recall: 0.7348, relative_absolute_error: 0.2947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.7677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.7343, kappa: 0.7053, kb_relative_information_score: 722637.9238, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7341, predictive_accuracy: 0.7348, prior_entropy: 3.3219, recall: 0.7348, relative_absolute_error: 0.2947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.7677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.734, kappa: 0.705, kb_relative_information_score: 722320.0135, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7338, predictive_accuracy: 0.7345, prior_entropy: 3.3219, recall: 0.7345, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.7682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.733, kappa: 0.7039, kb_relative_information_score: 721278.4391, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7328, predictive_accuracy: 0.7335, prior_entropy: 3.3219, recall: 0.7335, relative_absolute_error: 0.2961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.7696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, f_measure: 0.7141, kappa: 0.6831, kb_relative_information_score: 701730.0943, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7138, predictive_accuracy: 0.7148, prior_entropy: 3.3219, recall: 0.7148, relative_absolute_error: 0.3169, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.7961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.7342, kappa: 0.705, kb_relative_information_score: 722358.7066, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.734, predictive_accuracy: 0.7345, prior_entropy: 3.3219, recall: 0.7345, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.7681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.7342, kappa: 0.705, kb_relative_information_score: 722358.7066, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.734, predictive_accuracy: 0.7345, prior_entropy: 3.3219, recall: 0.7345, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.7681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.5644, kappa: 0.5188, kb_relative_information_score: 547135.7645, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.5642, predictive_accuracy: 0.567, prior_entropy: 3.3219, recall: 0.567, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.664, kappa: 0.629, kb_relative_information_score: 650790.2012, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6635, predictive_accuracy: 0.6661, prior_entropy: 3.3219, recall: 0.6661, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.8614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.7045, kappa: 0.6718, kb_relative_information_score: 691062.3221, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7048, predictive_accuracy: 0.7046, prior_entropy: 3.3219, recall: 0.7046, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.8102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.6773, kappa: 0.6435, kb_relative_information_score: 664482.304, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6768, predictive_accuracy: 0.6792, prior_entropy: 3.3219, recall: 0.6792, relative_absolute_error: 0.3565, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.8444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.7368, kappa: 0.7083, kb_relative_information_score: 725451.0115, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7365, predictive_accuracy: 0.7375, prior_entropy: 3.3219, recall: 0.7375, relative_absolute_error: 0.2917, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.7638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.7368, kappa: 0.7067, kb_relative_information_score: 723992.1798, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.738, predictive_accuracy: 0.7361, prior_entropy: 3.3219, recall: 0.7361, relative_absolute_error: 0.2933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.7658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.7346, kappa: 0.7057, kb_relative_information_score: 722981.978, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7344, predictive_accuracy: 0.7351, prior_entropy: 3.3219, recall: 0.7351, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.7672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7442, f_measure: 0.5354, kappa: 0.4885, kb_relative_information_score: 518551.0292, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.5355, predictive_accuracy: 0.5396, prior_entropy: 3.3219, recall: 0.5396, relative_absolute_error: 0.5115, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3034, root_relative_squared_error: 1.0115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7442, f_measure: 0.5354, kappa: 0.4885, kb_relative_information_score: 518551.0292, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.5355, predictive_accuracy: 0.5396, prior_entropy: 3.3219, recall: 0.5396, relative_absolute_error: 0.5115, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3034, root_relative_squared_error: 1.0115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.7368, kappa: 0.7074, kb_relative_information_score: 724563.1633, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7374, predictive_accuracy: 0.7366, prior_entropy: 3.3219, recall: 0.7366, relative_absolute_error: 0.2927, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.7337, kappa: 0.7047, kb_relative_information_score: 722099.3587, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7335, predictive_accuracy: 0.7343, prior_entropy: 3.3219, recall: 0.7343, relative_absolute_error: 0.2953, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.7685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7442, f_measure: 0.5354, kappa: 0.4885, kb_relative_information_score: 518551.0292, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.5355, predictive_accuracy: 0.5396, prior_entropy: 3.3219, recall: 0.5396, relative_absolute_error: 0.5115, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3034, root_relative_squared_error: 1.0115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7442, f_measure: 0.5354, kappa: 0.4885, kb_relative_information_score: 518549.9835, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.5355, predictive_accuracy: 0.5396, prior_entropy: 3.3219, recall: 0.5396, relative_absolute_error: 0.5115, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3034, root_relative_squared_error: 1.0115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7442, f_measure: 0.5354, kappa: 0.4885, kb_relative_information_score: 518551.0292, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.5355, predictive_accuracy: 0.5396, prior_entropy: 3.3219, recall: 0.5396, relative_absolute_error: 0.5115, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3034, root_relative_squared_error: 1.0115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.7361, kappa: 0.7065, kb_relative_information_score: 723770.4792, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7368, predictive_accuracy: 0.7359, prior_entropy: 3.3219, recall: 0.7359, relative_absolute_error: 0.2935, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.7661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.6903, kappa: 0.6565, kb_relative_information_score: 676700.9345, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6903, predictive_accuracy: 0.6908, prior_entropy: 3.3219, recall: 0.6908, relative_absolute_error: 0.3435, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.8289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7504, f_measure: 0.5452, kappa: 0.5008, kb_relative_information_score: 530191.3559, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.5502, predictive_accuracy: 0.5507, prior_entropy: 3.3219, recall: 0.5507, relative_absolute_error: 0.4992, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.7383, kappa: 0.7086, kb_relative_information_score: 725769.9675, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7393, predictive_accuracy: 0.7378, prior_entropy: 3.3219, recall: 0.7378, relative_absolute_error: 0.2914, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.229, root_relative_squared_error: 0.7634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.7376, kappa: 0.7077, kb_relative_information_score: 724933.3615, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7386, predictive_accuracy: 0.737, prior_entropy: 3.3219, recall: 0.737, relative_absolute_error: 0.2923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.7645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.738, kappa: 0.7081, kb_relative_information_score: 725243.9515, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7394, predictive_accuracy: 0.7373, prior_entropy: 3.3219, recall: 0.7373, relative_absolute_error: 0.2919, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.7641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.738, kappa: 0.7081, kb_relative_information_score: 725243.9515, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7394, predictive_accuracy: 0.7373, prior_entropy: 3.3219, recall: 0.7373, relative_absolute_error: 0.2919, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.7641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.7369, kappa: 0.7069, kb_relative_information_score: 724123.9452, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.738, predictive_accuracy: 0.7362, prior_entropy: 3.3219, recall: 0.7362, relative_absolute_error: 0.2931, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.7657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.7124, kappa: 0.6807, kb_relative_information_score: 699501.5851, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7124, predictive_accuracy: 0.7127, prior_entropy: 3.3219, recall: 0.7127, relative_absolute_error: 0.3193, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.7991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7343, kappa: 0.7053, kb_relative_information_score: 722626.4205, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7341, predictive_accuracy: 0.7348, prior_entropy: 3.3219, recall: 0.7348, relative_absolute_error: 0.2947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.7677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.7343, kappa: 0.7053, kb_relative_information_score: 732053.1503, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7341, predictive_accuracy: 0.7348, prior_entropy: 3.3219, recall: 0.7348, relative_absolute_error: 0.3141, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.7326, kappa: 0.7034, kb_relative_information_score: 730759.9826, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7323, predictive_accuracy: 0.7331, prior_entropy: 3.3219, recall: 0.7331, relative_absolute_error: 0.3348, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8946, f_measure: 0.7262, kappa: 0.6966, kb_relative_information_score: 715857.2165, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7258, predictive_accuracy: 0.7269, prior_entropy: 3.3219, recall: 0.7269, relative_absolute_error: 0.3716, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.7115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.7191, kappa: 0.6893, kb_relative_information_score: 699530.0524, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7188, predictive_accuracy: 0.7204, prior_entropy: 3.3219, recall: 0.7204, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.7068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.715, kappa: 0.685, kb_relative_information_score: 682691.5632, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7149, predictive_accuracy: 0.7165, prior_entropy: 3.3219, recall: 0.7165, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.7063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.7148, kappa: 0.6848, kb_relative_information_score: 672501.8288, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7146, predictive_accuracy: 0.7163, prior_entropy: 3.3219, recall: 0.7163, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.7051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.682, kappa: 0.6513, kb_relative_information_score: 609625.4531, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.687, predictive_accuracy: 0.6862, prior_entropy: 3.3219, recall: 0.6862, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.7429,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7374, kappa: 0.7084, kb_relative_information_score: 725544.0839, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7375, predictive_accuracy: 0.7376, prior_entropy: 3.3219, recall: 0.7376, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.7637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7344, kappa: 0.7053, kb_relative_information_score: 722629.5577, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7342, predictive_accuracy: 0.7348, prior_entropy: 3.3219, recall: 0.7348, relative_absolute_error: 0.2947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.7677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.7338, kappa: 0.7047, kb_relative_information_score: 722061.7114, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7336, predictive_accuracy: 0.7342, prior_entropy: 3.3219, recall: 0.7342, relative_absolute_error: 0.2953, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.7685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.7336, kappa: 0.7044, kb_relative_information_score: 721784.5857, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7334, predictive_accuracy: 0.734, prior_entropy: 3.3219, recall: 0.734, relative_absolute_error: 0.2956, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.7689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.7336, kappa: 0.7044, kb_relative_information_score: 721784.5857, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7334, predictive_accuracy: 0.734, prior_entropy: 3.3219, recall: 0.734, relative_absolute_error: 0.2956, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.7689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.704, kappa: 0.6711, kb_relative_information_score: 690438.0049, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7045, predictive_accuracy: 0.704, prior_entropy: 3.3219, recall: 0.704, relative_absolute_error: 0.3289, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.8111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.704, kappa: 0.6711, kb_relative_information_score: 650573.6697, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7045, predictive_accuracy: 0.704, prior_entropy: 3.3219, recall: 0.704, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.6987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.7024, kappa: 0.6722, kb_relative_information_score: 643828.6542, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7037, predictive_accuracy: 0.705, prior_entropy: 3.3219, recall: 0.705, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.7317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.6567, kappa: 0.6214, kb_relative_information_score: 516117.6639, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6561, predictive_accuracy: 0.6593, prior_entropy: 3.3219, recall: 0.6593, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.7859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.5228, kappa: 0.4663, kb_relative_information_score: 382750.7088, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.532, predictive_accuracy: 0.5196, prior_entropy: 3.3219, recall: 0.5196, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.8578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0183, kb_relative_information_score: 59030.5473, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.01, predictive_accuracy: 0.1002, prior_entropy: 3.3219, recall: 0.1002, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4242, root_relative_squared_error: 1.4141,

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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