Task
Supervised Data Stream Classification on ecoli

Supervised Data Stream Classification on ecoli

Task 2206 Supervised Data Stream Classification ecoli 25 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.8003, kappa: 0.7386, kb_relative_information_score: 275.375, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.2188, number_of_instances: 336, precision: 0.8336, predictive_accuracy: 0.8155, prior_entropy: 3, recall: 0.8155, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.3307, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.5439, run_cpu_time: 0.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.2541, kb_relative_information_score: 156.5276, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.2188, number_of_instances: 336, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 3, recall: 0.4256, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.3307, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.914, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.7819, kappa: 0.7201, kb_relative_information_score: 272.6509, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.2188, number_of_instances: 336, precision: 0.8275, predictive_accuracy: 0.8036, prior_entropy: 3, recall: 0.8036, relative_absolute_error: 0.2267, root_mean_prior_squared_error: 0.3307, root_mean_squared_error: 0.194, root_relative_squared_error: 0.5867, run_cpu_time: 0.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2541, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2188, number_of_instances: 336, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 3, recall: 0.4256, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3307, root_mean_squared_error: 0.3307, root_relative_squared_error: 1, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.7938, kappa: 0.7342, kb_relative_information_score: 273.1631, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.2188, number_of_instances: 336, precision: 0.8536, predictive_accuracy: 0.8125, prior_entropy: 3, recall: 0.8125, relative_absolute_error: 0.2145, root_mean_prior_squared_error: 0.3307, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.604, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2541, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2188, number_of_instances: 336, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 3, recall: 0.4256, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3307, root_mean_squared_error: 0.3307, root_relative_squared_error: 1, run_cpu_time: 0.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2541, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2188, number_of_instances: 336, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 3, recall: 0.4256, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3307, root_mean_squared_error: 0.3307, root_relative_squared_error: 1, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.8458, kappa: 0.7837, kb_relative_information_score: 280.4175, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.2188, number_of_instances: 336, precision: 0.8759, predictive_accuracy: 0.8452, prior_entropy: 3, recall: 0.8452, relative_absolute_error: 0.2266, root_mean_prior_squared_error: 0.3307, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.506, run_cpu_time: 0.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2541, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2188, number_of_instances: 336, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 3, recall: 0.4256, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3307, root_mean_squared_error: 0.3307, root_relative_squared_error: 1, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9792, kappa: 0.9713, kb_relative_information_score: 328.5505, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.2188, number_of_instances: 336, precision: 0.9792, predictive_accuracy: 0.9792, prior_entropy: 3, recall: 0.9792, relative_absolute_error: 0.0238, root_mean_prior_squared_error: 0.3307, root_mean_squared_error: 0.0722, root_relative_squared_error: 0.2182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2541, kb_relative_information_score: 130.6065, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.2188, number_of_instances: 336, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 3, recall: 0.4256, relative_absolute_error: 0.6565, root_mean_prior_squared_error: 0.3307, root_mean_squared_error: 0.3789, root_relative_squared_error: 1.1458, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2541, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2188, number_of_instances: 336, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 3, recall: 0.4256, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3307, root_mean_squared_error: 0.3307, root_relative_squared_error: 1, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.7938, kappa: 0.7342, kb_relative_information_score: 273.1631, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.2188, number_of_instances: 336, precision: 0.8536, predictive_accuracy: 0.8125, prior_entropy: 3, recall: 0.8125, relative_absolute_error: 0.2145, root_mean_prior_squared_error: 0.3307, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.604, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.2541, kb_relative_information_score: 156.5276, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.2188, number_of_instances: 336, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 3, recall: 0.4256, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.3307, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.914, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.7938, kappa: 0.7342, kb_relative_information_score: 273.1631, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.2188, number_of_instances: 336, precision: 0.8536, predictive_accuracy: 0.8125, prior_entropy: 3, recall: 0.8125, relative_absolute_error: 0.2145, root_mean_prior_squared_error: 0.3307, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.604, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2541, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2188, number_of_instances: 336, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 3, recall: 0.4256, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3307, root_mean_squared_error: 0.3307, root_relative_squared_error: 1, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.781, kappa: 0.7208, kb_relative_information_score: 271.0755, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.2188, number_of_instances: 336, precision: 0.8449, predictive_accuracy: 0.8036, prior_entropy: 3, recall: 0.8036, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.3307, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.6173, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.8472, kappa: 0.8007, kb_relative_information_score: 290.0356, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.2188, number_of_instances: 336, precision: 0.8558, predictive_accuracy: 0.8571, prior_entropy: 3, recall: 0.8571, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.3307, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.4973, run_cpu_time: 0.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.322, kappa: 0.0932, kb_relative_information_score: 130.6065, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.2188, number_of_instances: 336, precision: 0.259, predictive_accuracy: 0.4256, prior_entropy: 3, ram_hours: 0, recall: 0.4256, relative_absolute_error: 0.6565, root_mean_prior_squared_error: 0.3307, root_mean_squared_error: 0.3789, root_relative_squared_error: 1.1458, run_cpu_time: 0.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.7891, kappa: 0.7288, kb_relative_information_score: 275.4212, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.2188, number_of_instances: 336, precision: 0.8321, predictive_accuracy: 0.8095, prior_entropy: 3, ram_hours: 0, recall: 0.8095, relative_absolute_error: 0.2198, root_mean_prior_squared_error: 0.3307, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5706, run_cpu_time: 0.0355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2541, kb_relative_information_score: 130.6065, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.2188, number_of_instances: 336, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 3, ram_hours: 0, recall: 0.4256, relative_absolute_error: 0.6565, root_mean_prior_squared_error: 0.3307, root_mean_squared_error: 0.3789, root_relative_squared_error: 1.1458, run_cpu_time: 0.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5522, f_measure: 0.3043, kappa: 0.0744, kb_relative_information_score: 130.6065, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.2188, number_of_instances: 336, precision: 0.2368, predictive_accuracy: 0.4256, prior_entropy: 3, ram_hours: 0, recall: 0.4256, relative_absolute_error: 0.6565, root_mean_prior_squared_error: 0.3307, root_mean_squared_error: 0.3789, root_relative_squared_error: 1.1458, run_cpu_time: 0.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.7478, kappa: 0.6717, kb_relative_information_score: 268.2397, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.2188, number_of_instances: 336, precision: 0.798, predictive_accuracy: 0.7738, prior_entropy: 3, ram_hours: 0, recall: 0.7738, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3307, root_mean_squared_error: 0.192, root_relative_squared_error: 0.5806, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.7629, kappa: 0.69, kb_relative_information_score: 269.4145, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.2188, number_of_instances: 336, precision: 0.8064, predictive_accuracy: 0.7857, prior_entropy: 3, ram_hours: 0, recall: 0.7857, relative_absolute_error: 0.2583, root_mean_prior_squared_error: 0.3307, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.5708, run_cpu_time: 0.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.5726, kappa: 0.4184, kb_relative_information_score: 211.5527, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.2188, number_of_instances: 336, precision: 0.5915, predictive_accuracy: 0.6071, prior_entropy: 3, recall: 0.6071, relative_absolute_error: 0.4487, root_mean_prior_squared_error: 0.3307, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.7934,

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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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