Task
Supervised Data Stream Classification on letter

Supervised Data Stream Classification on letter

Task 2174 Supervised Data Stream Classification letter 26 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.003, kb_relative_information_score: 526.2598, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0016, predictive_accuracy: 0.0395, prior_entropy: 4.7004, ram_hours: 0, recall: 0.0395, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2684, root_relative_squared_error: 1.3959, run_cpu_time: 1.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.6221, kappa: 0.6141, kb_relative_information_score: 3681.2333, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6727, predictive_accuracy: 0.629, prior_entropy: 4.7004, recall: 0.629, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.187, root_relative_squared_error: 0.9724, run_cpu_time: 3.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.6321, kappa: 0.62, kb_relative_information_score: 13634.6953, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6445, predictive_accuracy: 0.6347, prior_entropy: 4.7004, ram_hours: 0, recall: 0.6347, relative_absolute_error: 0.4572, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.14, root_relative_squared_error: 0.7278, run_cpu_time: 21.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.6321, kappa: 0.62, kb_relative_information_score: 13634.6953, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6445, predictive_accuracy: 0.6347, prior_entropy: 4.7004, ram_hours: 0, recall: 0.6347, relative_absolute_error: 0.4572, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.14, root_relative_squared_error: 0.7278, run_cpu_time: 22.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.6248, kappa: 0.6067, kb_relative_information_score: 13375.881, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6425, predictive_accuracy: 0.6218, prior_entropy: 4.7004, ram_hours: 0, recall: 0.6218, relative_absolute_error: 0.572, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.7314, run_cpu_time: 140.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.631, kappa: 0.6186, kb_relative_information_score: 13607.8623, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6457, predictive_accuracy: 0.6333, prior_entropy: 4.7004, ram_hours: 0, recall: 0.6333, relative_absolute_error: 0.4463, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.7318, run_cpu_time: 17.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.003, kb_relative_information_score: 557.7395, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0016, predictive_accuracy: 0.0395, prior_entropy: 4.7004, recall: 0.0395, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2718, root_relative_squared_error: 1.4135, run_cpu_time: 0.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.0052, kappa: 0.0008, kb_relative_information_score: 550.6552, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.005, predictive_accuracy: 0.0391, prior_entropy: 4.7004, recall: 0.0391, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.4137, run_cpu_time: 0.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.6243, kappa: 0.6061, kb_relative_information_score: 13375.3468, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6443, predictive_accuracy: 0.6213, prior_entropy: 4.7004, recall: 0.6213, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.7317, run_cpu_time: 7.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.6321, kappa: 0.6199, kb_relative_information_score: 13572.6896, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6469, predictive_accuracy: 0.6346, prior_entropy: 4.7004, recall: 0.6346, relative_absolute_error: 0.4399, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.7395, run_cpu_time: 3.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7207, f_measure: 0.0898, kappa: 0.0747, kb_relative_information_score: 3320.5735, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.117, predictive_accuracy: 0.1105, prior_entropy: 4.7004, ram_hours: 0, recall: 0.1105, relative_absolute_error: 0.9535, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.9793, run_cpu_time: 4.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.0409, kappa: 0.0025, kb_relative_information_score: 587.0886, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0409, predictive_accuracy: 0.0409, prior_entropy: 4.7004, recall: 0.0409, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2716, root_relative_squared_error: 1.4124, run_cpu_time: 0.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.632, kappa: 0.62, kb_relative_information_score: 13573.7017, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6468, predictive_accuracy: 0.6346, prior_entropy: 4.7004, recall: 0.6346, relative_absolute_error: 0.4399, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.7396, run_cpu_time: 2.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.572, kappa: 0.5516, kb_relative_information_score: 12287.5714, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6026, predictive_accuracy: 0.5689, prior_entropy: 4.7004, recall: 0.5689, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.152, root_relative_squared_error: 0.7902, run_cpu_time: 3.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.003, kb_relative_information_score: 557.7395, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0016, predictive_accuracy: 0.0395, prior_entropy: 4.7004, recall: 0.0395, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2718, root_relative_squared_error: 1.4135, run_cpu_time: 0.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4821, f_measure: 0.0171, kappa: -0.0047, kb_relative_information_score: 133.8059, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0155, predictive_accuracy: 0.0351, prior_entropy: 4.7004, recall: 0.0351, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1924, root_relative_squared_error: 1.0003, run_cpu_time: 0.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.6321, kappa: 0.6201, kb_relative_information_score: 13635.4592, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6446, predictive_accuracy: 0.6347, prior_entropy: 4.7004, ram_hours: 0, recall: 0.6347, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.14, root_relative_squared_error: 0.7278, run_cpu_time: 18.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.0035, kappa: 0.0004, kb_relative_information_score: 541.5469, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0322, predictive_accuracy: 0.0387, prior_entropy: 4.7004, ram_hours: 0, recall: 0.0387, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.4141, run_cpu_time: 0.1304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.561, f_measure: 0.0857, kappa: 0.1164, kb_relative_information_score: 2766.9117, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0806, predictive_accuracy: 0.1502, prior_entropy: 4.7004, ram_hours: 0, recall: 0.1502, relative_absolute_error: 0.8841, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2521, root_relative_squared_error: 1.3108, run_cpu_time: 0.2675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.5785, kappa: 0.5537, kb_relative_information_score: 11511.4367, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6119, predictive_accuracy: 0.5709, prior_entropy: 4.7004, ram_hours: 0, recall: 0.5709, relative_absolute_error: 0.5517, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.8085, run_cpu_time: 0.3904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, f_measure: 0.6145, kappa: 0.5963, kb_relative_information_score: 12397.3271, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.636, predictive_accuracy: 0.6119, prior_entropy: 4.7004, ram_hours: 0, recall: 0.6119, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.8121, run_cpu_time: 0.4938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.631, kappa: 0.6186, kb_relative_information_score: 13607.8623, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6457, predictive_accuracy: 0.6333, prior_entropy: 4.7004, ram_hours: 0, recall: 0.6333, relative_absolute_error: 0.4463, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.7318, run_cpu_time: 19.4771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.2195, kappa: 0.2229, kb_relative_information_score: 6329.8034, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.2437, predictive_accuracy: 0.253, prior_entropy: 4.7004, ram_hours: 0, recall: 0.253, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.9372, run_cpu_time: 1.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.633, kappa: 0.62, kb_relative_information_score: 13520.494, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6413, predictive_accuracy: 0.6346, prior_entropy: 4.7004, ram_hours: 0, recall: 0.6346, relative_absolute_error: 0.4642, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.7286, run_cpu_time: 26.2446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.6321, kappa: 0.6199, kb_relative_information_score: 13572.6896, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6469, predictive_accuracy: 0.6346, prior_entropy: 4.7004, ram_hours: 0, recall: 0.6346, relative_absolute_error: 0.4399, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.7395, run_cpu_time: 3.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.628, kappa: 0.6157, kb_relative_information_score: 13522.8836, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.642, predictive_accuracy: 0.6305, prior_entropy: 4.7004, ram_hours: 0, recall: 0.6305, relative_absolute_error: 0.4427, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.7431, run_cpu_time: 4.17,

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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)
    predictions The desired output format Predictions (optional)

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