OpenML
Supervised Data Stream Classification on BNG(segment)

Supervised Data Stream Classification on BNG(segment)

Task 170 Supervised Data Stream Classification BNG(segment) 188 runs submitted
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  • ecmlpkdd2015 streamensembles streams streams-full study_11
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8633, kappa: 0.8405, kb_relative_information_score: 852424.5233, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8643, predictive_accuracy: 0.8633, prior_entropy: 2.8074, recall: 0.8633, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.5649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.8563, kappa: 0.8322, kb_relative_information_score: 844791.2159, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8577, predictive_accuracy: 0.8562, prior_entropy: 2.8074, recall: 0.8562, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.5793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.816, kappa: 0.7846, kb_relative_information_score: 800705.1697, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8213, predictive_accuracy: 0.8153, prior_entropy: 2.8074, recall: 0.8153, relative_absolute_error: 0.2154, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.6564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8037, kappa: 0.7701, kb_relative_information_score: 787290.4927, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8138, predictive_accuracy: 0.8029, prior_entropy: 2.8074, recall: 0.8029, relative_absolute_error: 0.2299, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.6782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8633, kappa: 0.8405, kb_relative_information_score: 852457.979, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8643, predictive_accuracy: 0.8633, prior_entropy: 2.8074, recall: 0.8633, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.5648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8634, kappa: 0.8405, kb_relative_information_score: 852472.0089, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8643, predictive_accuracy: 0.8633, prior_entropy: 2.8074, recall: 0.8633, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.5648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8633, kappa: 0.8405, kb_relative_information_score: 852457.979, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8643, predictive_accuracy: 0.8633, prior_entropy: 2.8074, recall: 0.8633, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.5648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8633, kappa: 0.8405, kb_relative_information_score: 852446.1076, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8643, predictive_accuracy: 0.8633, prior_entropy: 2.8074, recall: 0.8633, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.5648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8633, kappa: 0.8404, kb_relative_information_score: 852402.9389, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8643, predictive_accuracy: 0.8632, prior_entropy: 2.8074, recall: 0.8632, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.5649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8633, kappa: 0.8405, kb_relative_information_score: 852448.2661, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8643, predictive_accuracy: 0.8633, prior_entropy: 2.8074, recall: 0.8633, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.5648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8633, kappa: 0.8405, kb_relative_information_score: 852452.5829, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8643, predictive_accuracy: 0.8633, prior_entropy: 2.8074, recall: 0.8633, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.5648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8633, kappa: 0.8404, kb_relative_information_score: 852401.8597, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8643, predictive_accuracy: 0.8632, prior_entropy: 2.8074, recall: 0.8632, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.5649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.8624, kappa: 0.8395, kb_relative_information_score: 851484.5246, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8634, predictive_accuracy: 0.8624, prior_entropy: 2.8074, recall: 0.8624, relative_absolute_error: 0.1606, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.5667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8374, kappa: 0.81, kb_relative_information_score: 824229.9588, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8396, predictive_accuracy: 0.8371, prior_entropy: 2.8074, recall: 0.8371, relative_absolute_error: 0.19, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.6165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8634, kappa: 0.8405, kb_relative_information_score: 852470.9296, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8643, predictive_accuracy: 0.8633, prior_entropy: 2.8074, recall: 0.8633, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.5648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8634, kappa: 0.8405, kb_relative_information_score: 852470.9296, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8643, predictive_accuracy: 0.8633, prior_entropy: 2.8074, recall: 0.8633, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.5648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.8354, kappa: 0.8086, kb_relative_information_score: 822920.8676, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8361, predictive_accuracy: 0.8359, prior_entropy: 2.8074, recall: 0.8359, relative_absolute_error: 0.1914, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.6188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8096, kappa: 0.7788, kb_relative_information_score: 795399.7351, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8161, predictive_accuracy: 0.8104, prior_entropy: 2.8074, recall: 0.8104, relative_absolute_error: 0.2212, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.6651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8634, kappa: 0.8405, kb_relative_information_score: 852450.4245, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8644, predictive_accuracy: 0.8633, prior_entropy: 2.8074, recall: 0.8633, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.5648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.8161, kappa: 0.7868, kb_relative_information_score: 802781.5847, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8208, predictive_accuracy: 0.8173, prior_entropy: 2.8074, recall: 0.8173, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8541, kappa: 0.83, kb_relative_information_score: 842714.8009, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8543, predictive_accuracy: 0.8543, prior_entropy: 2.8074, recall: 0.8543, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.5831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8611, kappa: 0.8372, kb_relative_information_score: 849419.981, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8632, predictive_accuracy: 0.8605, prior_entropy: 2.8074, recall: 0.8605, relative_absolute_error: 0.1628, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.5706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8591, kappa: 0.8353, kb_relative_information_score: 847628.4795, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8611, predictive_accuracy: 0.8588, prior_entropy: 2.8074, recall: 0.8588, relative_absolute_error: 0.1647, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8072, kappa: 0.774, kb_relative_information_score: 790926.3774, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8191, predictive_accuracy: 0.8063, prior_entropy: 2.8074, recall: 0.8063, relative_absolute_error: 0.226, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.6723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8072, kappa: 0.774, kb_relative_information_score: 790926.3774, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8191, predictive_accuracy: 0.8063, prior_entropy: 2.8074, recall: 0.8063, relative_absolute_error: 0.226, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.6723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8544, kappa: 0.8301, kb_relative_information_score: 842829.198, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8567, predictive_accuracy: 0.8544, prior_entropy: 2.8074, recall: 0.8544, relative_absolute_error: 0.1699, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.204, root_relative_squared_error: 0.5829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.8059, kappa: 0.7721, kb_relative_information_score: 789206.1042, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.815, predictive_accuracy: 0.8047, prior_entropy: 2.8074, recall: 0.8047, relative_absolute_error: 0.2279, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.6751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8072, kappa: 0.774, kb_relative_information_score: 790926.3774, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8191, predictive_accuracy: 0.8063, prior_entropy: 2.8074, recall: 0.8063, relative_absolute_error: 0.226, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.6723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8072, kappa: 0.774, kb_relative_information_score: 790926.3774, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8191, predictive_accuracy: 0.8063, prior_entropy: 2.8074, recall: 0.8063, relative_absolute_error: 0.226, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.6723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.8089, kappa: 0.7768, kb_relative_information_score: 793488.4404, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8167, predictive_accuracy: 0.8086, prior_entropy: 2.8074, recall: 0.8086, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.6682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.865, kappa: 0.8424, kb_relative_information_score: 854219.2624, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8659, predictive_accuracy: 0.8649, prior_entropy: 2.8074, recall: 0.8649, relative_absolute_error: 0.1576, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.5614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8634, kappa: 0.8405, kb_relative_information_score: 852433.157, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8644, predictive_accuracy: 0.8633, prior_entropy: 2.8074, recall: 0.8633, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.5648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8072, kappa: 0.774, kb_relative_information_score: 790926.3774, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8191, predictive_accuracy: 0.8063, prior_entropy: 2.8074, recall: 0.8063, relative_absolute_error: 0.226, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.6723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8647, kappa: 0.8419, kb_relative_information_score: 853758.4365, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8659, predictive_accuracy: 0.8645, prior_entropy: 2.8074, recall: 0.8645, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.5623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8634, kappa: 0.8405, kb_relative_information_score: 852456.8998, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8643, predictive_accuracy: 0.8633, prior_entropy: 2.8074, recall: 0.8633, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.5648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8634, kappa: 0.8405, kb_relative_information_score: 842731.5012, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8643, predictive_accuracy: 0.8633, prior_entropy: 2.8074, recall: 0.8633, relative_absolute_error: 0.1893, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.5562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8518, kappa: 0.8266, kb_relative_information_score: 838122.5037, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8552, predictive_accuracy: 0.8513, prior_entropy: 2.8074, recall: 0.8513, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.5491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.8603, kappa: 0.8362, kb_relative_information_score: 836356.1587, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8631, predictive_accuracy: 0.8596, prior_entropy: 2.8074, recall: 0.8596, relative_absolute_error: 0.2077, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.5377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.8586, kappa: 0.8339, kb_relative_information_score: 832570.979, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8624, predictive_accuracy: 0.8577, prior_entropy: 2.8074, recall: 0.8577, relative_absolute_error: 0.2168, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.5274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.8556, kappa: 0.8303, kb_relative_information_score: 814880.6665, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8598, predictive_accuracy: 0.8546, prior_entropy: 2.8074, recall: 0.8546, relative_absolute_error: 0.249, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.5312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.855, kappa: 0.8298, kb_relative_information_score: 799244.967, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8592, predictive_accuracy: 0.8541, prior_entropy: 2.8074, recall: 0.8541, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.5314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.8487, kappa: 0.8231, kb_relative_information_score: 748830.9929, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8529, predictive_accuracy: 0.8483, prior_entropy: 2.8074, recall: 0.8483, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.5628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.8508, kappa: 0.8251, kb_relative_information_score: 805284.0609, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8548, predictive_accuracy: 0.8501, prior_entropy: 2.8074, recall: 0.8501, relative_absolute_error: 0.2652, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.5398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.8546, kappa: 0.8294, kb_relative_information_score: 831590.3928, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8585, predictive_accuracy: 0.8538, prior_entropy: 2.8074, recall: 0.8538, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.185, root_relative_squared_error: 0.5286,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.8512, kappa: 0.8258, kb_relative_information_score: 835708.1338, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8541, predictive_accuracy: 0.8507, prior_entropy: 2.8074, recall: 0.8507, relative_absolute_error: 0.2086, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.5387,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8648, kappa: 0.8422, kb_relative_information_score: 854015.2903, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8657, predictive_accuracy: 0.8647, prior_entropy: 2.8074, recall: 0.8647, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.5618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8634, kappa: 0.8405, kb_relative_information_score: 852474.1673, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8644, predictive_accuracy: 0.8633, prior_entropy: 2.8074, recall: 0.8633, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.5648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8634, kappa: 0.8405, kb_relative_information_score: 852437.4739, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8644, predictive_accuracy: 0.8633, prior_entropy: 2.8074, recall: 0.8633, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.5648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8633, kappa: 0.8405, kb_relative_information_score: 852424.5233, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8644, predictive_accuracy: 0.8633, prior_entropy: 2.8074, recall: 0.8633, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.5649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8633, kappa: 0.8405, kb_relative_information_score: 852424.5233, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8644, predictive_accuracy: 0.8633, prior_entropy: 2.8074, recall: 0.8633, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.5649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8633, kappa: 0.8405, kb_relative_information_score: 852422.3648, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8644, predictive_accuracy: 0.8633, prior_entropy: 2.8074, recall: 0.8633, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.5649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8633, kappa: 0.8405, kb_relative_information_score: 838711.9839, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8644, predictive_accuracy: 0.8633, prior_entropy: 2.8074, recall: 0.8633, relative_absolute_error: 0.2191, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.4807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.849, kappa: 0.8238, kb_relative_information_score: 755921.2839, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.852, predictive_accuracy: 0.849, prior_entropy: 2.8074, recall: 0.849, relative_absolute_error: 0.3532, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.5703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.8165, kappa: 0.7875, kb_relative_information_score: 785942.5727, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8207, predictive_accuracy: 0.8178, prior_entropy: 2.8074, recall: 0.8178, relative_absolute_error: 0.2953, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.6481, kappa: 0.6081, kb_relative_information_score: 613989.8582, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6778, predictive_accuracy: 0.6641, prior_entropy: 2.8074, recall: 0.6641, relative_absolute_error: 0.509, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.251, root_relative_squared_error: 0.7173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.8308, kappa: 0.802, kb_relative_information_score: 752673.2175, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8348, predictive_accuracy: 0.8303, prior_entropy: 2.8074, recall: 0.8303, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.5477,

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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