OpenML
Jan van Rijn
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Jan's runs

Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set churn
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6609, f_measure: 0.8795, kappa: 0.4401, kb_relative_information_score: 0.4859, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9021, predictive_accuracy: 0.9006, prior_entropy: 0.5879, recall: 0.9006, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.9048,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set dna
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9556, kappa: 0.928, kb_relative_information_score: 0.933, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9562, predictive_accuracy: 0.9554, prior_entropy: 1.4798, recall: 0.9554, relative_absolute_error: 0.0725, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3808,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set numerai28.6
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5202, f_measure: 0.516, kappa: 0.0404, kb_relative_information_score: 0.0423, mean_absolute_error: 0.4788, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5211, predictive_accuracy: 0.5212, prior_entropy: 0.9999, recall: 0.5212, relative_absolute_error: 0.9576, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6919, root_relative_squared_error: 1.3839,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set jungle_chess_2pcs_raw_endgame_complete
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.8245, kappa: 0.696, kb_relative_information_score: 0.684, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8227, predictive_accuracy: 0.8276, prior_entropy: 1.3491, recall: 0.8276, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.7746,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set mfeat-pixel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 0.9801, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 3.3219, recall: 0.981, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2055,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set segment
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8849, kappa: 0.8662, kb_relative_information_score: 0.8762, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8862, predictive_accuracy: 0.8853, prior_entropy: 2.8074, recall: 0.8853, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.181, root_relative_squared_error: 0.5174,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set car
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.9149, kappa: 0.8292, kb_relative_information_score: 0.7602, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9305, predictive_accuracy: 0.9207, prior_entropy: 1.2058, recall: 0.9207, relative_absolute_error: 0.1731, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.5889,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set wilt
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.9787, kappa: 0.7756, kb_relative_information_score: 0.7221, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.98, predictive_accuracy: 0.9804, prior_entropy: 0.3029, recall: 0.9804, relative_absolute_error: 0.1921, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.6203,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set climate-model-simulation-crashes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5642, f_measure: 0.8976, kappa: 0.2086, kb_relative_information_score: 0.339, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9192, predictive_accuracy: 0.9241, prior_entropy: 0.4202, recall: 0.9241, relative_absolute_error: 0.4832, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.9871,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set steel-plates-fault
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.7553, kappa: 0.6827, kb_relative_information_score: 0.7167, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7596, predictive_accuracy: 0.7553, prior_entropy: 2.4107, recall: 0.7553, relative_absolute_error: 0.3145, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.7932,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set MiceProtein
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 0.9962, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9964, predictive_accuracy: 0.9963, prior_entropy: 2.993, recall: 0.9963, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0304, root_relative_squared_error: 0.0921,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set connect-4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.733, kappa: 0.4824, kb_relative_information_score: 0.4766, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7702, predictive_accuracy: 0.7763, prior_entropy: 1.2184, recall: 0.7763, relative_absolute_error: 0.4501, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.9488,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set texture
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.992, kappa: 0.9912, kb_relative_information_score: 0.9917, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 3.4594, recall: 0.992, relative_absolute_error: 0.0088, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0381, root_relative_squared_error: 0.1327,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set dresses-sales
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5163, f_measure: 0.462, kappa: 0.0374, kb_relative_information_score: 0.1532, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6561, predictive_accuracy: 0.592, prior_entropy: 0.9815, recall: 0.592, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6387, root_relative_squared_error: 1.2942,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set GesturePhaseSegmentationProcessed
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.4982, kappa: 0.3742, kb_relative_information_score: 0.4132, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5458, predictive_accuracy: 0.5392, prior_entropy: 2.1934, recall: 0.5392, relative_absolute_error: 0.6013, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4293, root_relative_squared_error: 1.0967,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set bank-marketing
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6288, f_measure: 0.8792, kappa: 0.3423, kb_relative_information_score: 0.3567, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8801, predictive_accuracy: 0.8977, prior_entropy: 0.5206, recall: 0.8977, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.995,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set cylinder-bands
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7449, kappa: 0.4806, kb_relative_information_score: 0.5052, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7888, predictive_accuracy: 0.7611, prior_entropy: 0.9825, recall: 0.7611, relative_absolute_error: 0.4896, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9896,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set PhishingWebsites
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.9449, kappa: 0.8882, kb_relative_information_score: 0.8879, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9452, predictive_accuracy: 0.945, prior_entropy: 0.9906, recall: 0.945, relative_absolute_error: 0.1114, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.4721,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.7283, kappa: 0.1912, kb_relative_information_score: 0.3103, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7486, predictive_accuracy: 0.7781, prior_entropy: 0.7916, recall: 0.7781, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.1063,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set banknote-authentication
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set first-order-theorem-proving
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, f_measure: 0.494, kappa: 0.3223, kb_relative_information_score: 0.3616, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.508, predictive_accuracy: 0.5319, prior_entropy: 2.3, recall: 0.5319, relative_absolute_error: 0.6223, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.395, root_relative_squared_error: 1.1156,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set ozone-level-8hr
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: 0.248, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9412, predictive_accuracy: 0.9373, prior_entropy: 0.3398, recall: 0.9373, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2505, root_relative_squared_error: 1.0299,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set nomao
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.9589, kappa: 0.8991, kb_relative_information_score: 0.8911, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.959, prior_entropy: 0.863, recall: 0.959, relative_absolute_error: 0.1005, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4483,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set ilpd
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2414, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5352, root_relative_squared_error: 1.1838,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set semeion
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9549, kappa: 0.9498, kb_relative_information_score: 0.9527, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9554, predictive_accuracy: 0.9548, prior_entropy: 3.3218, recall: 0.9548, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.3169,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set wall-robot-navigation
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8882, kappa: 0.8308, kb_relative_information_score: 0.8402, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8887, predictive_accuracy: 0.8887, prior_entropy: 1.7146, recall: 0.8887, relative_absolute_error: 0.1679, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.5796,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set qsar-biodeg
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8582, f_measure: 0.8787, kappa: 0.7268, kb_relative_information_score: 0.718, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8785, predictive_accuracy: 0.8796, prior_entropy: 0.9223, recall: 0.8796, relative_absolute_error: 0.2692, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.347, root_relative_squared_error: 0.7338,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set phoneme
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.845, kappa: 0.6254, kb_relative_information_score: 0.5979, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8447, predictive_accuracy: 0.8453, prior_entropy: 0.8732, recall: 0.8453, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.8638,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set wdbc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9736, kappa: 0.9433, kb_relative_information_score: 0.942, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9737, predictive_accuracy: 0.9736, prior_entropy: 0.9526, recall: 0.9736, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3358,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set adult
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.8446, kappa: 0.5567, kb_relative_information_score: 0.5425, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8452, predictive_accuracy: 0.8522, prior_entropy: 0.7938, recall: 0.8522, relative_absolute_error: 0.4059, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.901,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set pc1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5171, f_measure: 0.901, kappa: 0.0583, kb_relative_information_score: 0.2291, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8941, predictive_accuracy: 0.9288, prior_entropy: 0.3638, recall: 0.9288, relative_absolute_error: 0.5484, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2669, root_relative_squared_error: 1.05,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set kc1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.567, f_measure: 0.8151, kappa: 0.1945, kb_relative_information_score: 0.3148, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8272, predictive_accuracy: 0.8549, prior_entropy: 0.6212, recall: 0.8549, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3809, root_relative_squared_error: 1.0537,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.8141, kappa: 0.3826, kb_relative_information_score: 0.4189, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8225, predictive_accuracy: 0.8372, prior_entropy: 0.7318, recall: 0.8372, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9996,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set jm1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5431, f_measure: 0.7557, kappa: 0.1264, kb_relative_information_score: 0.2969, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7815, predictive_accuracy: 0.8141, prior_entropy: 0.7087, recall: 0.8141, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4312, root_relative_squared_error: 1.0916,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set pc3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5055, f_measure: 0.8516, kappa: 0.0195, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8578, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set pc4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6313, f_measure: 0.8823, kappa: 0.3713, kb_relative_information_score: 0.4272, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8993, predictive_accuracy: 0.9047, prior_entropy: 0.5353, recall: 0.9047, relative_absolute_error: 0.4439, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.9431,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set analcatdata_dmft
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5226, f_measure: 0.1826, kappa: 0.0457, kb_relative_information_score: 0.1287, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1985, predictive_accuracy: 0.2133, prior_entropy: 2.5803, recall: 0.2133, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5121, root_relative_squared_error: 1.375,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set analcatdata_authorship
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 0.9931, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7874, recall: 0.9952, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1176,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set vowel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.9158, kappa: 0.9078, kb_relative_information_score: 0.9128, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9188, predictive_accuracy: 0.9162, prior_entropy: 3.4594, recall: 0.9162, relative_absolute_error: 0.0922, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1235, root_relative_squared_error: 0.4295,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set sick
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7504, f_measure: 0.9602, kappa: 0.6185, kb_relative_information_score: 0.5601, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9616, predictive_accuracy: 0.9645, prior_entropy: 0.3324, recall: 0.9645, relative_absolute_error: 0.3084, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.7861,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set eucalyptus
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7728, f_measure: 0.6344, kappa: 0.5499, kb_relative_information_score: 0.5724, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6785, predictive_accuracy: 0.6576, prior_entropy: 2.2621, recall: 0.6576, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.9352,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set satimage
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8965, kappa: 0.8746, kb_relative_information_score: 0.8757, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8959, predictive_accuracy: 0.8986, prior_entropy: 2.4834, recall: 0.8986, relative_absolute_error: 0.1251, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.5003,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set electricity
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7781, f_measure: 0.7898, kappa: 0.5675, kb_relative_information_score: 0.5718, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7938, predictive_accuracy: 0.7929, prior_entropy: 0.9835, recall: 0.7929, relative_absolute_error: 0.4239, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9208,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.7631, kappa: 0.6927, kb_relative_information_score: 0.7229, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7619, predictive_accuracy: 0.7695, prior_entropy: 1.9991, recall: 0.7695, relative_absolute_error: 0.3075, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.7842,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.8774, kappa: 0.7231, kb_relative_information_score: 0.731, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8941, predictive_accuracy: 0.8831, prior_entropy: 0.931, recall: 0.8831, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.7185,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set splice
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9603, kappa: 0.9356, kb_relative_information_score: 0.94, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9607, predictive_accuracy: 0.9602, prior_entropy: 1.4802, recall: 0.9602, relative_absolute_error: 0.0647, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3598,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set spambase
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.9328, kappa: 0.8587, kb_relative_information_score: 0.857, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9331, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.5295,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.754, kappa: 0.4484, kb_relative_information_score: 0.4542, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7555, predictive_accuracy: 0.7617, prior_entropy: 0.9331, recall: 0.7617, relative_absolute_error: 0.5243, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4881, root_relative_squared_error: 1.0241,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9946, kappa: 0.994, kb_relative_information_score: 0.9944, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9946, predictive_accuracy: 0.9946, prior_entropy: 3.3208, recall: 0.9946, relative_absolute_error: 0.006, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0328, root_relative_squared_error: 0.1092,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6138, f_measure: 0.7075, kappa: 0.2735, kb_relative_information_score: 0.3514, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7338, predictive_accuracy: 0.746, prior_entropy: 0.8813, recall: 0.746, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0998,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set credit-approval
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.8569, kappa: 0.7146, kb_relative_information_score: 0.708, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8681, predictive_accuracy: 0.8565, prior_entropy: 0.9912, recall: 0.8565, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7622,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set optdigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9868, kappa: 0.9854, kb_relative_information_score: 0.9862, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9869, predictive_accuracy: 0.9868, prior_entropy: 3.3218, recall: 0.9868, relative_absolute_error: 0.0146, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.1711,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set cmc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6482, f_measure: 0.5447, kappa: 0.294, kb_relative_information_score: 0.3486, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5451, predictive_accuracy: 0.5506, prior_entropy: 1.539, recall: 0.5506, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5474, root_relative_squared_error: 1.1794,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8325, kappa: 0.8167, kb_relative_information_score: 0.8275, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8305, predictive_accuracy: 0.835, prior_entropy: 3.3219, recall: 0.835, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.6055,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.7138, kappa: 0.6844, kb_relative_information_score: 0.703, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7214, predictive_accuracy: 0.716, prior_entropy: 3.3219, recall: 0.716, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.7944,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set mfeat-karhunen
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.976, kappa: 0.9733, kb_relative_information_score: 0.9749, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9762, predictive_accuracy: 0.976, prior_entropy: 3.3219, recall: 0.976, relative_absolute_error: 0.0267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0693, root_relative_squared_error: 0.2309,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set breast-w
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9672, kappa: 0.9278, kb_relative_information_score: 0.924, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9677, predictive_accuracy: 0.9671, prior_entropy: 0.9293, recall: 0.9671, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3816,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.8349, kappa: 0.8178, kb_relative_information_score: 0.8285, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8358, predictive_accuracy: 0.836, prior_entropy: 3.3219, recall: 0.836, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.6037,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9765, kappa: 0.9739, kb_relative_information_score: 0.9754, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9767, predictive_accuracy: 0.9765, prior_entropy: 3.3219, recall: 0.9765, relative_absolute_error: 0.0261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2285,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, kappa: 0.819, kb_relative_information_score: 0.7465, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.9024, prior_entropy: 1.3181, recall: 0.9024, relative_absolute_error: 0.1713, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.5856,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set letter
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.949, kappa: 0.9466, kb_relative_information_score: 0.948, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9501, predictive_accuracy: 0.9487, prior_entropy: 4.6998, recall: 0.9487, relative_absolute_error: 0.0534, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0628, root_relative_squared_error: 0.3267,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.9386, kappa: 0.8768, kb_relative_information_score: 0.877, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9397, predictive_accuracy: 0.9387, prior_entropy: 0.9986, recall: 0.9387, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.4958,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set churn
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.9384, kappa: 0.7388, kb_relative_information_score: 0.6182, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.938, predictive_accuracy: 0.9404, prior_entropy: 0.5879, recall: 0.9404, relative_absolute_error: 0.3257, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.6215,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set dna
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9533, kappa: 0.9242, kb_relative_information_score: 0.9221, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9535, predictive_accuracy: 0.9532, prior_entropy: 1.4798, recall: 0.9532, relative_absolute_error: 0.0867, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.3612,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set numerai28.6
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5157, f_measure: 0.5129, kappa: 0.0259, kb_relative_information_score: 0.0064, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.513, predictive_accuracy: 0.5131, prior_entropy: 0.9999, recall: 0.5131, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5059, root_relative_squared_error: 1.0119,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set jungle_chess_2pcs_raw_endgame_complete
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.8591, kappa: 0.7552, kb_relative_information_score: 0.712, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.8587, predictive_accuracy: 0.8599, prior_entropy: 1.3491, recall: 0.8599, relative_absolute_error: 0.3307, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.5673,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set mfeat-pixel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.973, kappa: 0.97, kb_relative_information_score: 0.9705, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9731, predictive_accuracy: 0.973, prior_entropy: 3.3219, recall: 0.973, relative_absolute_error: 0.0402, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0644, root_relative_squared_error: 0.2146,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set segment
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9212, kappa: 0.9081, kb_relative_information_score: 0.9078, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.922, predictive_accuracy: 0.9212, prior_entropy: 2.8074, recall: 0.9212, relative_absolute_error: 0.137, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.3633,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set car
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9902, kappa: 0.9785, kb_relative_information_score: 0.9511, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9902, predictive_accuracy: 0.9902, prior_entropy: 1.2058, recall: 0.9902, relative_absolute_error: 0.0714, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0688, root_relative_squared_error: 0.2035,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set wilt
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9892, kappa: 0.8928, kb_relative_information_score: 0.7638, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9891, predictive_accuracy: 0.9893, prior_entropy: 0.3029, recall: 0.9893, relative_absolute_error: 0.172, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.4089,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set climate-model-simulation-crashes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.9479, kappa: 0.6416, kb_relative_information_score: 0.3583, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.948, predictive_accuracy: 0.9519, prior_entropy: 0.4202, recall: 0.9519, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.7213,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set steel-plates-fault
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.7634, kappa: 0.6963, kb_relative_information_score: 0.7199, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7631, predictive_accuracy: 0.764, prior_entropy: 2.4107, recall: 0.764, relative_absolute_error: 0.3727, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.6453,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set MiceProtein
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 0.9897, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 2.993, recall: 0.9963, relative_absolute_error: 0.019, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0323, root_relative_squared_error: 0.0978,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set connect-4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.8414, kappa: 0.6881, kb_relative_information_score: 0.6352, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.8376, predictive_accuracy: 0.8487, prior_entropy: 1.2184, recall: 0.8487, relative_absolute_error: 0.3741, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.269, root_relative_squared_error: 0.661,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set texture
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9974, kb_relative_information_score: 0.9969, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 3.4594, recall: 0.9976, relative_absolute_error: 0.0057, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0189, root_relative_squared_error: 0.0656,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set dresses-sales
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.5604, kappa: 0.0932, kb_relative_information_score: 0.0729, mean_absolute_error: 0.4483, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5585, predictive_accuracy: 0.564, prior_entropy: 0.9815, recall: 0.564, relative_absolute_error: 0.9201, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5725, root_relative_squared_error: 1.1599,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set GesturePhaseSegmentationProcessed
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.5561, kappa: 0.4297, kb_relative_information_score: 0.4107, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.558, predictive_accuracy: 0.5686, prior_entropy: 2.1934, recall: 0.5686, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.8747,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set bank-marketing
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.8951, kappa: 0.4728, kb_relative_information_score: 0.2715, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8922, predictive_accuracy: 0.8994, prior_entropy: 0.5206, recall: 0.8994, relative_absolute_error: 0.5681, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.269, root_relative_squared_error: 0.8371,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set cylinder-bands
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8068, kappa: 0.6029, kb_relative_information_score: 0.5896, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8067, predictive_accuracy: 0.8074, prior_entropy: 0.9825, recall: 0.8074, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.7384,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set PhishingWebsites
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9713, kappa: 0.9419, kb_relative_information_score: 0.9289, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9713, predictive_accuracy: 0.9713, prior_entropy: 0.9906, recall: 0.9713, relative_absolute_error: 0.0742, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.145, root_relative_squared_error: 0.2918,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.7822, kappa: 0.3605, kb_relative_information_score: 0.1586, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7874, predictive_accuracy: 0.8048, prior_entropy: 0.7916, recall: 0.8048, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.9077,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set banknote-authentication
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.9901, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0262, root_relative_squared_error: 0.0526,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set first-order-theorem-proving
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.536, kappa: 0.3853, kb_relative_information_score: 0.3608, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5293, predictive_accuracy: 0.5534, prior_entropy: 2.3, recall: 0.5534, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.8791,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set ozone-level-8hr
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.9383, kappa: 0.4586, kb_relative_information_score: 0.0544, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.9408, prior_entropy: 0.3398, recall: 0.9408, relative_absolute_error: 0.5978, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.8937,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set nomao
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9629, kappa: 0.9088, kb_relative_information_score: 0.8898, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.9631, prior_entropy: 0.863, recall: 0.9631, relative_absolute_error: 0.1063, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.3822,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set ilpd
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6662, kappa: 0.1455, kb_relative_information_score: 0.1332, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6591, predictive_accuracy: 0.6964, prior_entropy: 0.8641, recall: 0.6964, relative_absolute_error: 0.8213, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.9211,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set semeion
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9337, kappa: 0.9261, kb_relative_information_score: 0.9339, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9345, predictive_accuracy: 0.9335, prior_entropy: 3.3218, recall: 0.9335, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.3271,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set wall-robot-navigation
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9361, kappa: 0.9036, kb_relative_information_score: 0.8877, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9362, predictive_accuracy: 0.9362, prior_entropy: 1.7146, recall: 0.9362, relative_absolute_error: 0.1417, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.3853,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set qsar-biodeg
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.8823, kappa: 0.7364, kb_relative_information_score: 0.6584, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8822, predictive_accuracy: 0.8825, prior_entropy: 0.9223, recall: 0.8825, relative_absolute_error: 0.3464, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.6413,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set phoneme
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8568, kappa: 0.6542, kb_relative_information_score: 0.5016, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8566, predictive_accuracy: 0.857, prior_entropy: 0.8732, recall: 0.857, relative_absolute_error: 0.4958, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.6964,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set wdbc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9753, kappa: 0.9472, kb_relative_information_score: 0.9283, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9754, predictive_accuracy: 0.9754, prior_entropy: 0.9526, recall: 0.9754, relative_absolute_error: 0.0756, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.2905,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set adult
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.839, kappa: 0.5453, kb_relative_information_score: 0.4417, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8374, predictive_accuracy: 0.8443, prior_entropy: 0.7938, recall: 0.8443, relative_absolute_error: 0.517, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.7794,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set pc1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.9076, kappa: 0.1558, kb_relative_information_score: -0.2855, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9008, predictive_accuracy: 0.927, prior_entropy: 0.3638, recall: 0.927, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.9615,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set kc1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.8347, kappa: 0.2964, kb_relative_information_score: 0.0982, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8364, predictive_accuracy: 0.8601, prior_entropy: 0.6212, recall: 0.8601, relative_absolute_error: 0.7696, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.8975,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.8153, kappa: 0.3999, kb_relative_information_score: 0.2851, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8131, predictive_accuracy: 0.8295, prior_entropy: 0.7318, recall: 0.8295, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.8463,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set jm1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.7718, kappa: 0.1875, kb_relative_information_score: 0.0795, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7886, predictive_accuracy: 0.8185, prior_entropy: 0.7087, recall: 0.8185, relative_absolute_error: 0.8528, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.9405,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set pc3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.8694, kappa: 0.2033, kb_relative_information_score: -0.0814, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8602, predictive_accuracy: 0.888, prior_entropy: 0.4765, recall: 0.888, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.9464,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set pc4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9146, kappa: 0.582, kb_relative_information_score: 0.4047, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.913, predictive_accuracy: 0.9191, prior_entropy: 0.5353, recall: 0.9191, relative_absolute_error: 0.4835, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.7531,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set analcatdata_dmft
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5695, f_measure: 0.2093, kappa: 0.0481, kb_relative_information_score: 0.117, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2104, predictive_accuracy: 0.2083, prior_entropy: 2.5803, recall: 0.2083, relative_absolute_error: 0.9677, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3818, root_relative_squared_error: 1.025,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set analcatdata_authorship
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9858, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9965, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0209, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.044, root_relative_squared_error: 0.1062,