Task
Supervised Data Stream Classification on nursery

Supervised Data Stream Classification on nursery

Task 2194 Supervised Data Stream Classification nursery 25 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.8429, kappa: 0.7576, kb_relative_information_score: 10217.3497, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.32, number_of_instances: 12960, precision: 0.8729, predictive_accuracy: 0.8329, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8329, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.5495, run_cpu_time: 0.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6523, f_measure: 0.3142, kappa: 0.2285, kb_relative_information_score: 2840.8451, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.32, number_of_instances: 12960, precision: 0.3142, predictive_accuracy: 0.3143, prior_entropy: 2.3219, ram_hours: 0, recall: 0.3143, relative_absolute_error: 0.8572, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5237, root_relative_squared_error: 1.3093, run_cpu_time: 0.0566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9241, kappa: 0.889, kb_relative_information_score: 9881.8828, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.32, number_of_instances: 12960, precision: 0.9338, predictive_accuracy: 0.9245, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9245, relative_absolute_error: 0.3671, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.4828, run_cpu_time: 2.4703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9546, kappa: 0.9323, kb_relative_information_score: 11335.4846, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.32, number_of_instances: 12960, precision: 0.9569, predictive_accuracy: 0.9537, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9537, relative_absolute_error: 0.2046, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.14, root_relative_squared_error: 0.35, run_cpu_time: 0.9315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 3122.0909, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.32, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 2.3219, ram_hours: 0, recall: 0.3333, relative_absolute_error: 0.8333, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.291, run_cpu_time: 0.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.722, f_measure: 0.5078, kappa: 0.4289, kb_relative_information_score: 7079.7595, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.32, number_of_instances: 12960, precision: 0.441, predictive_accuracy: 0.6178, prior_entropy: 2.3219, ram_hours: 0, recall: 0.6178, relative_absolute_error: 0.4905, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.9508, run_cpu_time: 0.0711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.5617, kappa: 0.3794, kb_relative_information_score: 6797.4667, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.32, number_of_instances: 12960, precision: 0.7075, predictive_accuracy: 0.5815, prior_entropy: 2.3219, ram_hours: 0, recall: 0.5815, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.7897, run_cpu_time: 0.1223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9246, kappa: 0.8897, kb_relative_information_score: 9872.2758, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.32, number_of_instances: 12960, precision: 0.9334, predictive_accuracy: 0.925, prior_entropy: 2.3219, ram_hours: 0, recall: 0.925, relative_absolute_error: 0.3686, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.4832, run_cpu_time: 47.8736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9339, kappa: 0.9018, kb_relative_information_score: 11805.6408, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.32, number_of_instances: 12960, precision: 0.9407, predictive_accuracy: 0.9327, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9327, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.3518, run_cpu_time: 0.7739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.8998, kappa: 0.8514, kb_relative_information_score: 11340.7027, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.32, number_of_instances: 12960, precision: 0.9155, predictive_accuracy: 0.8982, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8982, relative_absolute_error: 0.1674, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.17, root_relative_squared_error: 0.425, run_cpu_time: 0.1023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.8998, kappa: 0.8514, kb_relative_information_score: 11340.7027, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.32, number_of_instances: 12960, precision: 0.9155, predictive_accuracy: 0.8982, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8982, relative_absolute_error: 0.1674, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.17, root_relative_squared_error: 0.425, run_cpu_time: 0.0962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9564, kappa: 0.9355, kb_relative_information_score: 11416.8206, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.32, number_of_instances: 12960, precision: 0.9581, predictive_accuracy: 0.9559, prior_entropy: 2.3219, recall: 0.9559, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3659, run_cpu_time: 1.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.441, f_measure: 0.2394, kappa: -0.1145, kb_relative_information_score: 1735.219, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.32, number_of_instances: 12960, precision: 0.2394, predictive_accuracy: 0.2394, prior_entropy: 2.3219, ram_hours: 0, recall: 0.2394, relative_absolute_error: 0.9508, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5516, root_relative_squared_error: 1.379, run_cpu_time: 0.0672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7102, f_measure: 0.4931, kappa: 0.3957, kb_relative_information_score: 6562.6215, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.32, number_of_instances: 12960, precision: 0.4354, predictive_accuracy: 0.5816, prior_entropy: 2.3219, ram_hours: 0, recall: 0.5816, relative_absolute_error: 0.5365, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.9795, run_cpu_time: 0.0826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5074, f_measure: 0.0291, kappa: 0.0099, kb_relative_information_score: -1570.2729, mean_absolute_error: 0.3939, mean_prior_absolute_error: 0.32, number_of_instances: 12960, precision: 0.3158, predictive_accuracy: 0.0154, prior_entropy: 2.3219, ram_hours: 0, recall: 0.0154, relative_absolute_error: 1.2308, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.6276, root_relative_squared_error: 1.569, run_cpu_time: 0.0715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9052, kappa: 0.86, kb_relative_information_score: 11382.0615, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.32, number_of_instances: 12960, precision: 0.9167, predictive_accuracy: 0.9044, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9044, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.424, run_cpu_time: 0.1327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9074, kappa: 0.8633, kb_relative_information_score: 11340.4125, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.32, number_of_instances: 12960, precision: 0.9223, predictive_accuracy: 0.9066, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9066, relative_absolute_error: 0.1738, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.4098, run_cpu_time: 0.4603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.1734, kappa: 0.0059, kb_relative_information_score: 4031.0565, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.32, number_of_instances: 12960, precision: 0.219, predictive_accuracy: 0.3331, prior_entropy: 2.3219, ram_hours: 0, recall: 0.3331, relative_absolute_error: 0.8225, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.9241, run_cpu_time: 0.1289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.901, kappa: 0.8541, kb_relative_information_score: 11303.503, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.32, number_of_instances: 12960, precision: 0.9173, predictive_accuracy: 0.9002, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9002, relative_absolute_error: 0.1738, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.4244, run_cpu_time: 0.3337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.575, kappa: 0.362, kb_relative_information_score: 5583.0227, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.32, number_of_instances: 12960, precision: 0.6603, predictive_accuracy: 0.5175, prior_entropy: 2.3219, ram_hours: 0, recall: 0.5175, relative_absolute_error: 0.658, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9035, run_cpu_time: 0.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 3122.0909, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.32, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 2.3219, ram_hours: 0, recall: 0.3333, relative_absolute_error: 0.8333, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.291, run_cpu_time: 0.0623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.1667, kb_relative_information_score: 2881.5684, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.32, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 2.3219, ram_hours: 0, recall: 0.3333, relative_absolute_error: 0.8462, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5084, root_relative_squared_error: 1.2709, run_cpu_time: 0.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8035, kappa: 0.725, kb_relative_information_score: 9742.5201, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.32, number_of_instances: 12960, precision: 0.7989, predictive_accuracy: 0.8141, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8141, relative_absolute_error: 0.3336, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.582, run_cpu_time: 0.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, f_measure: 0.497, kappa: 0.4012, kb_relative_information_score: 2731.0772, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.32, number_of_instances: 12960, precision: 0.4375, predictive_accuracy: 0.588, prior_entropy: 2.3219, ram_hours: 0, recall: 0.588, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.9892, run_cpu_time: 0.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7121, f_measure: 0.4987, kappa: 0.4034, kb_relative_information_score: 6644.6554, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.32, number_of_instances: 12960, precision: 0.4385, predictive_accuracy: 0.5908, prior_entropy: 2.3219, ram_hours: 0, recall: 0.5908, relative_absolute_error: 0.536, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.386, root_relative_squared_error: 0.965, run_cpu_time: 0.11,

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    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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