Task
Supervised Data Stream Classification on car

Supervised Data Stream Classification on car

Task 2189 Supervised Data Stream Classification car 25 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.6631, kappa: 0.2449, kb_relative_information_score: 456.7516, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.375, number_of_instances: 1728, precision: 0.6228, predictive_accuracy: 0.7344, prior_entropy: 2, ram_hours: 0, recall: 0.7344, relative_absolute_error: 0.7547, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.9389, run_cpu_time: 0.0156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.595, f_measure: 0.6322, kappa: 0.1598, kb_relative_information_score: 1085.6, mean_absolute_error: 0.1539, mean_prior_absolute_error: 0.375, number_of_instances: 1728, precision: 0.5894, predictive_accuracy: 0.6921, prior_entropy: 2, ram_hours: 0, recall: 0.6921, relative_absolute_error: 0.4105, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.9061, run_cpu_time: 0.0068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.8003, kappa: 0.5695, kb_relative_information_score: 1343.2113, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.375, number_of_instances: 1728, precision: 0.8152, predictive_accuracy: 0.8275, prior_entropy: 2, ram_hours: 0, recall: 0.8275, relative_absolute_error: 0.2672, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.5517, run_cpu_time: 0.0727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.7788, kappa: 0.5194, kb_relative_information_score: 1330.2025, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.375, number_of_instances: 1728, precision: 0.8106, predictive_accuracy: 0.8125, prior_entropy: 2, ram_hours: 0, recall: 0.8125, relative_absolute_error: 0.2751, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.5613, run_cpu_time: 0.2255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, f_measure: 0.5768, kb_relative_information_score: 999.6735, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.375, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 2, recall: 0.7002, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.7813, run_cpu_time: 0.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.7415, kappa: 0.419, kb_relative_information_score: 1288.3569, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.375, number_of_instances: 1728, precision: 0.7509, predictive_accuracy: 0.7836, prior_entropy: 2, recall: 0.7836, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.5716, run_cpu_time: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.749, kappa: 0.4357, kb_relative_information_score: 1284.1019, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.375, number_of_instances: 1728, precision: 0.7607, predictive_accuracy: 0.7888, prior_entropy: 2, recall: 0.7888, relative_absolute_error: 0.3137, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.5725, run_cpu_time: 3.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.7893, kappa: 0.5439, kb_relative_information_score: 1333.8203, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.375, number_of_instances: 1728, precision: 0.8087, predictive_accuracy: 0.82, prior_entropy: 2, recall: 0.82, relative_absolute_error: 0.2733, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.5595, run_cpu_time: 0.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: 1102.5053, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.375, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 2, recall: 0.7002, relative_absolute_error: 0.3997, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.8941, run_cpu_time: 0.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.7152, kappa: 0.378, kb_relative_information_score: 413.4328, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.375, number_of_instances: 1728, precision: 0.6798, predictive_accuracy: 0.7679, prior_entropy: 2, recall: 0.7679, relative_absolute_error: 0.8063, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9058, run_cpu_time: 0.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4517, f_measure: 0.6696, kappa: 0.2633, kb_relative_information_score: 305.1964, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.375, number_of_instances: 1728, precision: 0.6354, predictive_accuracy: 0.7101, prior_entropy: 2, recall: 0.7101, relative_absolute_error: 0.8877, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.9628, run_cpu_time: 0.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.7893, kappa: 0.5439, kb_relative_information_score: 1333.8203, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.375, number_of_instances: 1728, precision: 0.8087, predictive_accuracy: 0.82, prior_entropy: 2, recall: 0.82, relative_absolute_error: 0.2733, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.5595, run_cpu_time: 0.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4028, f_measure: 0.5768, kb_relative_information_score: 371.782, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.375, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 2, ram_hours: 0, recall: 0.7002, relative_absolute_error: 0.8063, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4403, root_relative_squared_error: 1.0168, run_cpu_time: 0.0128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.8951, kappa: 0.7683, kb_relative_information_score: 1298.0345, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.375, number_of_instances: 1728, precision: 0.8961, predictive_accuracy: 0.8999, prior_entropy: 2, ram_hours: 0, recall: 0.8999, relative_absolute_error: 0.3466, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.5134, run_cpu_time: 0.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6118, f_measure: 0.6756, kappa: 0.2771, kb_relative_information_score: 458.4655, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.375, number_of_instances: 1728, precision: 0.6368, predictive_accuracy: 0.7419, prior_entropy: 2, ram_hours: 0, recall: 0.7419, relative_absolute_error: 0.7544, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.9415, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: 1102.5053, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.375, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 2, ram_hours: 0, recall: 0.7002, relative_absolute_error: 0.3997, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.8941, run_cpu_time: 0.0063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, f_measure: 0.5768, kb_relative_information_score: 999.6735, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.375, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 2, ram_hours: 0, recall: 0.7002, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.7813, run_cpu_time: 0.0101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.796, kappa: 0.5352, kb_relative_information_score: 1344.8855, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.375, number_of_instances: 1728, precision: 0.8185, predictive_accuracy: 0.8223, prior_entropy: 2, ram_hours: 0, recall: 0.8223, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.241, root_relative_squared_error: 0.5565, run_cpu_time: 0.1213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4028, f_measure: 0.5768, kb_relative_information_score: 371.782, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.375, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 2, ram_hours: 0, recall: 0.7002, relative_absolute_error: 0.8063, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4403, root_relative_squared_error: 1.0168, run_cpu_time: 0.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5746, f_measure: 0.5993, kappa: 0.1235, kb_relative_information_score: 892.397, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.375, number_of_instances: 1728, precision: 0.5991, predictive_accuracy: 0.5995, prior_entropy: 2, ram_hours: 0, recall: 0.5995, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4475, root_relative_squared_error: 1.0334, run_cpu_time: 0.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: 1102.5053, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.375, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 2, ram_hours: 0, recall: 0.7002, relative_absolute_error: 0.3997, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.8941, run_cpu_time: 0.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.7893, kappa: 0.5439, kb_relative_information_score: 1333.8203, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.375, number_of_instances: 1728, precision: 0.8087, predictive_accuracy: 0.82, prior_entropy: 2, ram_hours: 0, recall: 0.82, relative_absolute_error: 0.2733, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.5595, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.6179, kappa: 0.1051, kb_relative_information_score: 1130.8472, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.375, number_of_instances: 1728, precision: 0.5994, predictive_accuracy: 0.7025, prior_entropy: 2, recall: 0.7025, relative_absolute_error: 0.4053, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.7022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9126, kappa: 0.8105, kb_relative_information_score: 1355.5912, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.375, number_of_instances: 1728, precision: 0.9138, predictive_accuracy: 0.9172, prior_entropy: 2, ram_hours: 0, recall: 0.9172, relative_absolute_error: 0.3008, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.4719, run_cpu_time: 0.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.7796, kappa: 0.5144, kb_relative_information_score: 1329.8793, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.375, number_of_instances: 1728, precision: 0.7955, predictive_accuracy: 0.8113, prior_entropy: 2, ram_hours: 0, recall: 0.8113, relative_absolute_error: 0.2766, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.554, run_cpu_time: 0.07,

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    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.

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