Task
Supervised Data Stream Classification on mfeat-factors

Supervised Data Stream Classification on mfeat-factors

Task 2180 Supervised Data Stream Classification mfeat-factors 25 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9955, kappa: 0.995, kb_relative_information_score: 1990.5882, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 3.3219, ram_hours: 0, recall: 0.9955, relative_absolute_error: 0.005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.03, root_relative_squared_error: 0.1, run_cpu_time: 0.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6098, f_measure: 0.0411, kappa: 0.0033, kb_relative_information_score: 194.1371, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0257, predictive_accuracy: 0.103, prior_entropy: 3.3219, ram_hours: 0, recall: 0.103, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.346, root_relative_squared_error: 1.1532, run_cpu_time: 0.4546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 117.6365, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142, run_cpu_time: 0.7922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 117.6365, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142, run_cpu_time: 0.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.0982, kappa: 0.1167, kb_relative_information_score: 737.8716, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.071, predictive_accuracy: 0.205, prior_entropy: 3.3219, ram_hours: 0, recall: 0.205, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.283, root_relative_squared_error: 0.9433, run_cpu_time: 0.8883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5553, f_measure: 0.1197, kappa: 0.1106, kb_relative_information_score: 325.7423, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1106, predictive_accuracy: 0.1995, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1995, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4001, root_relative_squared_error: 1.3338, run_cpu_time: 0.0853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 117.6365, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142, run_cpu_time: 0.5786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4435, f_measure: 0.0296, kb_relative_information_score: -45.7575, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0174, predictive_accuracy: 0.1, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1, relative_absolute_error: 1.0556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3803, root_relative_squared_error: 1.2677, run_cpu_time: 1.5641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9056, kappa: 0.895, kb_relative_information_score: 1831.0493, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9097, predictive_accuracy: 0.9055, prior_entropy: 3.3219, ram_hours: 0.0001, recall: 0.9055, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.3717, run_cpu_time: 120.0806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 117.6365, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142, run_cpu_time: 0.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.0182, kb_relative_information_score: 387.9153, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1, relative_absolute_error: 0.8807, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0007, run_cpu_time: 0.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.4212, kappa: 0.4278, kb_relative_information_score: 1041.8188, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.421, predictive_accuracy: 0.485, prior_entropy: 3.3219, ram_hours: 0, recall: 0.485, relative_absolute_error: 0.5779, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.966, run_cpu_time: 3.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5553, f_measure: 0.1197, kappa: 0.1106, kb_relative_information_score: 325.7423, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1106, predictive_accuracy: 0.1995, prior_entropy: 3.3219, recall: 0.1995, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4001, root_relative_squared_error: 1.3338, run_cpu_time: 0.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4444, f_measure: 0.0309, kb_relative_information_score: -45.7575, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0183, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1.0556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3808, root_relative_squared_error: 1.2693, run_cpu_time: 0.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.705, kappa: 0.6739, kb_relative_information_score: 1256.2311, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.716, predictive_accuracy: 0.7065, prior_entropy: 3.3219, ram_hours: 0, recall: 0.7065, relative_absolute_error: 0.5444, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.725, run_cpu_time: 3.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2222, f_measure: 0.0284, kb_relative_information_score: -45.7575, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0166, predictive_accuracy: 0.1, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1, relative_absolute_error: 1.0556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3246, root_relative_squared_error: 1.0822, run_cpu_time: 0.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.6841, kappa: 0.6511, kb_relative_information_score: 1265.8236, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6956, predictive_accuracy: 0.686, prior_entropy: 3.3219, ram_hours: 0, recall: 0.686, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7244, run_cpu_time: 3.5035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4444, f_measure: 0.0182, kb_relative_information_score: -45.7575, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1, relative_absolute_error: 1.0556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3808, root_relative_squared_error: 1.2693, run_cpu_time: 0.1347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 117.6365, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142, run_cpu_time: 0.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9058, kappa: 0.8939, kb_relative_information_score: 1808.6144, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.915, predictive_accuracy: 0.9045, prior_entropy: 3.3219, ram_hours: 0, recall: 0.9045, relative_absolute_error: 0.111, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.4349, run_cpu_time: 0.1454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.896, kappa: 0.8844, kb_relative_information_score: 1821.0253, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9013, predictive_accuracy: 0.896, prior_entropy: 3.3219, ram_hours: 0, recall: 0.896, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.387, run_cpu_time: 6.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4319, f_measure: 0.0295, kb_relative_information_score: -45.7575, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0173, predictive_accuracy: 0.1, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1, relative_absolute_error: 1.0556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3766, root_relative_squared_error: 1.2552, run_cpu_time: 0.5797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4321, f_measure: 0.0266, kb_relative_information_score: -45.7575, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0154, predictive_accuracy: 0.1, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1, relative_absolute_error: 1.0556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3751, root_relative_squared_error: 1.2502, run_cpu_time: 0.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5561, f_measure: 0.1178, kappa: 0.1094, kb_relative_information_score: 310.0603, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1082, predictive_accuracy: 0.1985, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1985, relative_absolute_error: 0.9085, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4007, root_relative_squared_error: 1.3357, run_cpu_time: 2.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.0792, kappa: 0.0122, kb_relative_information_score: 310.1366, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0624, predictive_accuracy: 0.111, prior_entropy: 3.3219, ram_hours: 0, recall: 0.111, relative_absolute_error: 0.9081, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3136, root_relative_squared_error: 1.0455, run_cpu_time: 4.16,

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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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