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Supervised Data Stream Classification on CovPokElec

Supervised Data Stream Classification on CovPokElec

Task 188 Supervised Data Stream Classification CovPokElec 331 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: 0.9253, f_measure: 0.8089, kappa: 0.6808, kb_relative_information_score: 1187837.4359, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.809, predictive_accuracy: 0.8119, prior_entropy: 3.3219, recall: 0.8119, relative_absolute_error: 0.2752, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.5571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2739, kb_relative_information_score: 610457.7837, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.1979, predictive_accuracy: 0.4448, prior_entropy: 3.3219, recall: 0.4448, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3332, root_relative_squared_error: 1.1107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5462, f_measure: 0.4224, kappa: 0.0889, kb_relative_information_score: 681343.6152, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.4877, predictive_accuracy: 0.4915, prior_entropy: 3.3219, recall: 0.4915, relative_absolute_error: 0.5695, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3106, root_relative_squared_error: 1.0355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.7338, kappa: 0.5549, kb_relative_information_score: 1095986.2258, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.7346, predictive_accuracy: 0.7354, prior_entropy: 3.3219, recall: 0.7354, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.6583, run_cpu_time: 76.4449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5555, f_measure: 0.3264, kappa: 0.0843, kb_relative_information_score: 348813.7827, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.5892, predictive_accuracy: 0.2299, prior_entropy: 3.3219, ram_hours: 0, recall: 0.2299, relative_absolute_error: 0.8365, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3571, root_relative_squared_error: 1.1904, run_cpu_time: 29.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2739, kb_relative_information_score: 610457.7837, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.1979, predictive_accuracy: 0.4448, prior_entropy: 3.3219, ram_hours: 0.0005, recall: 0.4448, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3332, root_relative_squared_error: 1.1107, run_cpu_time: 67.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5462, f_measure: 0.4224, kappa: 0.0889, kb_relative_information_score: 681343.6152, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.4877, predictive_accuracy: 0.4915, prior_entropy: 3.3219, ram_hours: 0, recall: 0.4915, relative_absolute_error: 0.5695, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3106, root_relative_squared_error: 1.0355, run_cpu_time: 32.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2739, kb_relative_information_score: 610457.7837, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.1979, predictive_accuracy: 0.4448, prior_entropy: 3.3219, ram_hours: 0, recall: 0.4448, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3332, root_relative_squared_error: 1.1107, run_cpu_time: 33.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.593, kappa: 0.3121, kb_relative_information_score: 948796.8699, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.595, predictive_accuracy: 0.6079, prior_entropy: 3.3219, ram_hours: 0.0006, recall: 0.6079, relative_absolute_error: 0.5404, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.746, run_cpu_time: 146.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.7816, kappa: 0.6338, kb_relative_information_score: 1160924.3002, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.7822, predictive_accuracy: 0.784, prior_entropy: 3.3219, ram_hours: 0.0001, recall: 0.784, relative_absolute_error: 0.3253, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.5794, run_cpu_time: 758.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5366, f_measure: 0.4285, kappa: 0.0943, kb_relative_information_score: 689933.9005, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.4821, predictive_accuracy: 0.4876, prior_entropy: 3.3219, ram_hours: 0, recall: 0.4876, relative_absolute_error: 0.7689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.8948, run_cpu_time: 39.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.7904, kappa: 0.6492, kb_relative_information_score: 1161424.012, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.7902, predictive_accuracy: 0.7934, prior_entropy: 3.3219, ram_hours: 0.0001, recall: 0.7934, relative_absolute_error: 0.2954, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.5883, run_cpu_time: 76.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.827, kappa: 0.711, kb_relative_information_score: 1191670.9402, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.8273, predictive_accuracy: 0.8311, prior_entropy: 3.3219, ram_hours: 0.0056, recall: 0.8311, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.5271, run_cpu_time: 465.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.892, kappa: 0.8189, kb_relative_information_score: 1164609.4752, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.8922, predictive_accuracy: 0.8932, prior_entropy: 3.3219, ram_hours: 0.0082, recall: 0.8932, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.5374, run_cpu_time: 575.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9298, kappa: 0.8827, kb_relative_information_score: 1291773.7668, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.93, predictive_accuracy: 0.9307, prior_entropy: 3.3219, ram_hours: 0.5111, recall: 0.9307, relative_absolute_error: 0.2103, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.3922, run_cpu_time: 8398.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.8272, kappa: 0.7103, kb_relative_information_score: 1192512.8081, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.8272, predictive_accuracy: 0.8272, prior_entropy: 3.3219, ram_hours: 0, recall: 0.8272, relative_absolute_error: 0.192, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.6197, run_cpu_time: 27.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.6667, kappa: 0.4634, kb_relative_information_score: 1004464.6961, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.6457, predictive_accuracy: 0.7037, prior_entropy: 3.3219, ram_hours: 0, recall: 0.7037, relative_absolute_error: 0.3293, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.8115, run_cpu_time: 26.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2739, kb_relative_information_score: 610457.7837, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.1979, predictive_accuracy: 0.4448, prior_entropy: 3.3219, ram_hours: 0.0004, recall: 0.4448, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3332, root_relative_squared_error: 1.1107, run_cpu_time: 171.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2739, kb_relative_information_score: 610457.7837, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.1979, predictive_accuracy: 0.4448, prior_entropy: 3.3219, ram_hours: 0.0312, recall: 0.4448, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3332, root_relative_squared_error: 1.1107, run_cpu_time: 1688.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5143, f_measure: 0.2546, kappa: 0.046, kb_relative_information_score: 234985.3959, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.5268, predictive_accuracy: 0.1736, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1736, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3938, root_relative_squared_error: 1.3128, run_cpu_time: 134.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.7338, kappa: 0.5549, kb_relative_information_score: 1095986.2258, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.7346, predictive_accuracy: 0.7354, prior_entropy: 3.3219, ram_hours: 0, recall: 0.7354, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.6583, run_cpu_time: 115.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7461, f_measure: 0.5903, kappa: 0.3008, kb_relative_information_score: 955621.5513, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.5956, predictive_accuracy: 0.6008, prior_entropy: 3.3219, ram_hours: 0, recall: 0.6008, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.7453, run_cpu_time: 45.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.2739, kb_relative_information_score: 610267.2, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.1979, predictive_accuracy: 0.4448, prior_entropy: 3.3219, ram_hours: 0.0206, recall: 0.4448, relative_absolute_error: 0.617, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3332, root_relative_squared_error: 1.1105, run_cpu_time: 151.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.567, f_measure: 0.3347, kappa: 0.087, kb_relative_information_score: 294668.0469, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.587, predictive_accuracy: 0.2375, prior_entropy: 3.3219, ram_hours: 0, recall: 0.2375, relative_absolute_error: 0.8474, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3905, root_relative_squared_error: 1.3015, run_cpu_time: 29.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5737, f_measure: 0.2808, kappa: 0.0046, kb_relative_information_score: 825505.5657, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.2209, predictive_accuracy: 0.4497, prior_entropy: 3.3219, ram_hours: 0, recall: 0.4497, relative_absolute_error: 0.6632, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.814, run_cpu_time: 40.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.7854, kappa: 0.6382, kb_relative_information_score: 1191562.4879, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.7883, predictive_accuracy: 0.789, prior_entropy: 3.3219, ram_hours: 0.0081, recall: 0.789, relative_absolute_error: 0.2911, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.5553, run_cpu_time: 30679.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.8827, kappa: 0.8042, kb_relative_information_score: 1272903.8381, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.8833, predictive_accuracy: 0.8848, prior_entropy: 3.3219, ram_hours: 0.001, recall: 0.8848, relative_absolute_error: 0.223, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.131, root_relative_squared_error: 0.4366, run_cpu_time: 797.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.7805, kappa: 0.6298, kb_relative_information_score: 1184460.91, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.7835, predictive_accuracy: 0.7841, prior_entropy: 3.3219, ram_hours: 0.0003, recall: 0.7841, relative_absolute_error: 0.2947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.5647, run_cpu_time: 1592.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.7904, kappa: 0.6492, kb_relative_information_score: 1161424.012, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.7902, predictive_accuracy: 0.7934, prior_entropy: 3.3219, ram_hours: 0.0001, recall: 0.7934, relative_absolute_error: 0.2954, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.5883, run_cpu_time: 69.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.6433, kappa: 0.4221, kb_relative_information_score: 969423.4542, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.6101, predictive_accuracy: 0.6806, prior_entropy: 3.3219, ram_hours: 0, recall: 0.6806, relative_absolute_error: 0.3548, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.8424, run_cpu_time: 31.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5823, f_measure: 0.3408, kappa: 0.124, kb_relative_information_score: 334906.7076, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.18, number_of_instances: 1455525, precision: 0.654, predictive_accuracy: 0.2424, prior_entropy: 3.3219, ram_hours: 0, recall: 0.2424, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3767, root_relative_squared_error: 1.2556, run_cpu_time: 93.04,

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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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evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
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