Task
Supervised Data Stream Classification on BNG(page-blocks)

Supervised Data Stream Classification on BNG(page-blocks)

Task 2155 Supervised Data Stream Classification BNG(page-blocks) 286 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: 0.6065, f_measure: 0.8562, kappa: 0.0486, kb_relative_information_score: 244432.566, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8553, predictive_accuracy: 0.9002, prior_entropy: 2.3219, recall: 0.9002, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6362, f_measure: 0.8552, kappa: 0.0412, kb_relative_information_score: 254557.7663, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8557, predictive_accuracy: 0.9, prior_entropy: 2.3219, recall: 0.9, relative_absolute_error: 0.1718, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6091, f_measure: 0.8528, kappa: 0.0221, kb_relative_information_score: 257412.7649, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8539, predictive_accuracy: 0.8991, prior_entropy: 2.3219, recall: 0.8991, relative_absolute_error: 0.1526, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.4869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5612, f_measure: 0.8527, kappa: 0.0216, kb_relative_information_score: 259688.696, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8534, predictive_accuracy: 0.899, prior_entropy: 2.3219, recall: 0.899, relative_absolute_error: 0.1374, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.4939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5403, f_measure: 0.8562, kappa: 0.049, kb_relative_information_score: 261827.5855, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.856, predictive_accuracy: 0.9003, prior_entropy: 2.3219, recall: 0.9003, relative_absolute_error: 0.1251, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5393, f_measure: 0.8562, kappa: 0.0486, kb_relative_information_score: 262126.0858, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8555, predictive_accuracy: 0.9002, prior_entropy: 2.3219, recall: 0.9002, relative_absolute_error: 0.1243, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.197, root_relative_squared_error: 0.4924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5369, f_measure: 0.8624, kappa: 0.1012, kb_relative_information_score: 262391.5184, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8705, predictive_accuracy: 0.9022, prior_entropy: 2.3219, recall: 0.9022, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5297, f_measure: 0.8624, kappa: 0.1012, kb_relative_information_score: 262362.0166, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8704, predictive_accuracy: 0.9022, prior_entropy: 2.3219, recall: 0.9022, relative_absolute_error: 0.1223, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.4945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6065, f_measure: 0.8562, kappa: 0.0486, kb_relative_information_score: 244432.566, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8553, predictive_accuracy: 0.9002, prior_entropy: 2.3219, recall: 0.9002, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6087, f_measure: 0.8527, kappa: 0.0213, kb_relative_information_score: 257081.0172, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8544, predictive_accuracy: 0.8991, prior_entropy: 2.3219, recall: 0.8991, relative_absolute_error: 0.1545, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.4873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.56, f_measure: 0.8527, kappa: 0.0215, kb_relative_information_score: 259563.2791, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8537, predictive_accuracy: 0.8991, prior_entropy: 2.3219, recall: 0.8991, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.4942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5403, f_measure: 0.8512, kappa: 0.0095, kb_relative_information_score: 261824.9332, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8554, predictive_accuracy: 0.8986, prior_entropy: 2.3219, recall: 0.8986, relative_absolute_error: 0.1251, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5393, f_measure: 0.8561, kappa: 0.0484, kb_relative_information_score: 262124.5106, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8555, predictive_accuracy: 0.9002, prior_entropy: 2.3219, recall: 0.9002, relative_absolute_error: 0.1243, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.197, root_relative_squared_error: 0.4925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5369, f_measure: 0.8552, kappa: 0.0409, kb_relative_information_score: 262390.9327, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8556, predictive_accuracy: 0.8999, prior_entropy: 2.3219, recall: 0.8999, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5296, f_measure: 0.862, kappa: 0.1003, kb_relative_information_score: 262061.4139, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.855, predictive_accuracy: 0.9013, prior_entropy: 2.3219, recall: 0.9013, relative_absolute_error: 0.1234, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5297, f_measure: 0.8625, kappa: 0.1015, kb_relative_information_score: 262366.5712, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8711, predictive_accuracy: 0.9022, prior_entropy: 2.3219, recall: 0.9022, relative_absolute_error: 0.1223, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.4945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5297, f_measure: 0.8624, kappa: 0.1012, kb_relative_information_score: 262363.1553, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8704, predictive_accuracy: 0.9022, prior_entropy: 2.3219, recall: 0.9022, relative_absolute_error: 0.1223, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.4945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5309, f_measure: 0.8629, kappa: 0.105, kb_relative_information_score: 262454.247, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.86, predictive_accuracy: 0.9025, prior_entropy: 2.3219, recall: 0.9025, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.4938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5253, f_measure: 0.8607, kappa: 0.0868, kb_relative_information_score: 262118.3462, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8636, predictive_accuracy: 0.9015, prior_entropy: 2.3219, recall: 0.9015, relative_absolute_error: 0.1232, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5326, f_measure: 0.8574, kappa: 0.0982, kb_relative_information_score: 258402.9414, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8423, predictive_accuracy: 0.8904, prior_entropy: 2.3219, recall: 0.8904, relative_absolute_error: 0.137, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.5234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5297, f_measure: 0.8624, kappa: 0.1012, kb_relative_information_score: 262362.0166, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8704, predictive_accuracy: 0.9022, prior_entropy: 2.3219, recall: 0.9022, relative_absolute_error: 0.1223, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.4945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5285, f_measure: 0.8616, kappa: 0.0965, kb_relative_information_score: 262001.0656, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8549, predictive_accuracy: 0.9011, prior_entropy: 2.3219, recall: 0.9011, relative_absolute_error: 0.1236, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5286, f_measure: 0.862, kappa: 0.0977, kb_relative_information_score: 262313.0548, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.864, predictive_accuracy: 0.902, prior_entropy: 2.3219, recall: 0.902, relative_absolute_error: 0.1224, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5285, f_measure: 0.862, kappa: 0.0974, kb_relative_information_score: 262309.6389, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8638, predictive_accuracy: 0.902, prior_entropy: 2.3219, recall: 0.902, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.198, root_relative_squared_error: 0.4949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.9029, kappa: 0.4444, kb_relative_information_score: 262251.3417, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.9002, predictive_accuracy: 0.9244, prior_entropy: 2.3219, recall: 0.9244, relative_absolute_error: 0.1503, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.3898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8946, f_measure: 0.9025, kappa: 0.4396, kb_relative_information_score: 262147.4868, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8986, predictive_accuracy: 0.9247, prior_entropy: 2.3219, recall: 0.9247, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.3871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.9023, kappa: 0.438, kb_relative_information_score: 262072.7471, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8989, predictive_accuracy: 0.9248, prior_entropy: 2.3219, recall: 0.9248, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.3855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.9021, kappa: 0.4371, kb_relative_information_score: 262004.2635, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8981, predictive_accuracy: 0.9248, prior_entropy: 2.3219, recall: 0.9248, relative_absolute_error: 0.1527, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.154, root_relative_squared_error: 0.3849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6589, f_measure: 0.731, kappa: 0.1179, kb_relative_information_score: 170689.8757, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8562, predictive_accuracy: 0.6469, prior_entropy: 2.3219, recall: 0.6469, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.531, f_measure: 0.863, kappa: 0.1055, kb_relative_information_score: 262458.8016, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8657, predictive_accuracy: 0.9025, prior_entropy: 2.3219, recall: 0.9025, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.4938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5245, f_measure: 0.8595, kappa: 0.0822, kb_relative_information_score: 261580.9049, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.855, predictive_accuracy: 0.8999, prior_entropy: 2.3219, recall: 0.8999, relative_absolute_error: 0.1252, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.5003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5566, f_measure: 0.8419, kappa: 0.1184, kb_relative_information_score: 244816.6068, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.837, predictive_accuracy: 0.85, prior_entropy: 2.3219, recall: 0.85, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.245, root_relative_squared_error: 0.6124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5285, f_measure: 0.862, kappa: 0.0973, kb_relative_information_score: 262310.7775, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.864, predictive_accuracy: 0.902, prior_entropy: 2.3219, recall: 0.902, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.198, root_relative_squared_error: 0.4949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6104, f_measure: 0.8634, kappa: 0.1185, kb_relative_information_score: 236432.3176, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8473, predictive_accuracy: 0.9007, prior_entropy: 2.3219, recall: 0.9007, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.5167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6406, f_measure: 0.8636, kappa: 0.1101, kb_relative_information_score: 251307.7804, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8786, predictive_accuracy: 0.9029, prior_entropy: 2.3219, recall: 0.9029, relative_absolute_error: 0.1927, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.193, root_relative_squared_error: 0.4825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.8575, kappa: 0.0595, kb_relative_information_score: 255461.5155, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.871, predictive_accuracy: 0.9006, prior_entropy: 2.3219, recall: 0.9006, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.4903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.8574, kappa: 0.0593, kb_relative_information_score: 259001.4059, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8655, predictive_accuracy: 0.9005, prior_entropy: 2.3219, recall: 0.9005, relative_absolute_error: 0.144, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.4945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5515, f_measure: 0.8675, kappa: 0.1454, kb_relative_information_score: 262786.5698, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8657, predictive_accuracy: 0.9038, prior_entropy: 2.3219, recall: 0.9038, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5446, f_measure: 0.8675, kappa: 0.1453, kb_relative_information_score: 262916.5377, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8657, predictive_accuracy: 0.9038, prior_entropy: 2.3219, recall: 0.9038, relative_absolute_error: 0.1202, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.4903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6104, f_measure: 0.8634, kappa: 0.1185, kb_relative_information_score: 236432.3176, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8473, predictive_accuracy: 0.9007, prior_entropy: 2.3219, recall: 0.9007, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.5167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.8563, kappa: 0.0502, kb_relative_information_score: 255073.796, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8757, predictive_accuracy: 0.9003, prior_entropy: 2.3219, recall: 0.9003, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5705, f_measure: 0.8572, kappa: 0.0575, kb_relative_information_score: 258794.9418, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8542, predictive_accuracy: 0.9005, prior_entropy: 2.3219, recall: 0.9005, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.4957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5515, f_measure: 0.8557, kappa: 0.0443, kb_relative_information_score: 262784.5252, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8573, predictive_accuracy: 0.9002, prior_entropy: 2.3219, recall: 0.9002, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.8678, kappa: 0.148, kb_relative_information_score: 262967.7768, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8663, predictive_accuracy: 0.904, prior_entropy: 2.3219, recall: 0.904, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.196, root_relative_squared_error: 0.4899,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5428, f_measure: 0.8609, kappa: 0.1263, kb_relative_information_score: 258948.3533, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8475, predictive_accuracy: 0.892, prior_entropy: 2.3219, recall: 0.892, relative_absolute_error: 0.135, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.5195,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.85, kappa: 0.0001, kb_relative_information_score: 249922.3689, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8186, predictive_accuracy: 0.8981, prior_entropy: 2.3219, recall: 0.8981, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.4622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, f_measure: 0.8203, kappa: 0.1877, kb_relative_information_score: 218405.1148, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8559, predictive_accuracy: 0.79, prior_entropy: 2.3219, recall: 0.79, relative_absolute_error: 0.311, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.6592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5459, f_measure: 0.868, kappa: 0.1494, kb_relative_information_score: 262988.2724, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.32, number_of_instances: 295245, precision: 0.8663, predictive_accuracy: 0.904, prior_entropy: 2.3219, recall: 0.904, relative_absolute_error: 0.1199, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4898,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

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.

Given inputs

Expected outputs

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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