OpenML

Taniya D 3 days ago
ran flow tensorflow.keras.src.engine.se ... uential.Sequential.ab990de8(1) on task Supervised Classification on data set IndoorScenes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6058, kappa: 0.0221, kb_relative_information_score: 0.0816, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.0292, weighted_recall: 0.0538, number_of_instances: 15620, predictive_accuracy: 0.0538, prior_entropy: 5.7539, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.1208, root_mean_squared_error: 0.1276, root_relative_squared_error: 1.0561, unweighted_recall: 0.0253,

Taniya D 3 days ago
ran flow tensorflow.keras.src.engine.se ... uential.Sequential.ab990de8(2) on task Supervised Classification on data set IndoorScenes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, kappa: 0.0169, kb_relative_information_score: 0.0802, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.0292, weighted_recall: 0.044, number_of_instances: 15620, predictive_accuracy: 0.044, prior_entropy: 5.7539, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.1208, root_mean_squared_error: 0.1257, root_relative_squared_error: 1.0406, unweighted_recall: 0.0243,

Taniya D 3 days ago
ran flow tensorflow.keras.src.engine.se ... uential.Sequential.a1b650ad(1) on task Supervised Classification on data set IndoorScenes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5232, kappa: 0.0027, kb_relative_information_score: 0.0535, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.0292, weighted_recall: 0.0214, number_of_instances: 15620, predictive_accuracy: 0.0214, prior_entropy: 5.7539, relative_absolute_error: 1.0049, root_mean_prior_squared_error: 0.1208, root_mean_squared_error: 0.1238, root_relative_squared_error: 1.0251, unweighted_recall: 0.014,

Taniya D 3 days ago
ran flow tensorflow.keras.src.engine.se ... uential.Sequential.ab990de8(1) on task Supervised Classification on data set IndoorScenes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, kappa: 0.035, kb_relative_information_score: 0.0935, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.0292, weighted_recall: 0.068, number_of_instances: 15620, predictive_accuracy: 0.068, prior_entropy: 5.7539, relative_absolute_error: 0.9841, root_mean_prior_squared_error: 0.1208, root_mean_squared_error: 0.124, root_relative_squared_error: 1.027, unweighted_recall: 0.0309,

Taniya D 3 days ago
ran flow tensorflow.keras.src.engine.se ... uential.Sequential.a1b650ad(1) on task Supervised Classification on data set IndoorScenes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5268, kappa: 0.0106, kb_relative_information_score: 0.0544, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.0292, weighted_recall: 0.0255, number_of_instances: 15620, predictive_accuracy: 0.0255, prior_entropy: 5.7539, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.1208, root_mean_squared_error: 0.1239, root_relative_squared_error: 1.0263, unweighted_recall: 0.019,

Taniya D 7 days ago
ran flow tensorflow.keras.src.engine.se ... uential.Sequential.ba943640(1) on task Supervised Classification on data set IndoorScenes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5289, kappa: 0.0083, kb_relative_information_score: 0.0505, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.0292, weighted_recall: 0.0198, number_of_instances: 15620, predictive_accuracy: 0.0198, prior_entropy: 5.7539, relative_absolute_error: 1.0057, root_mean_prior_squared_error: 0.1208, root_mean_squared_error: 0.1244, root_relative_squared_error: 1.0299, unweighted_recall: 0.0218,

Taniya D 7 days ago
ran flow tensorflow.keras.src.engine.se ... uential.Sequential.ba943640(1) on task Supervised Classification on data set IndoorScenes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5261, kappa: 0.004, kb_relative_information_score: 0.0513, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.0292, weighted_recall: 0.0169, number_of_instances: 15620, predictive_accuracy: 0.0169, prior_entropy: 5.7539, relative_absolute_error: 1.0064, root_mean_prior_squared_error: 0.1208, root_mean_squared_error: 0.123, root_relative_squared_error: 1.0184, unweighted_recall: 0.0175,

Prishnee Seegoolam 14 days ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(47) on task Supervised Classification on data set MagicTelescope

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.8807, kappa: 0.7352, kb_relative_information_score: 0.5991, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.456, weighted_recall: 0.8826, number_of_instances: 19020, precision: 0.8825, predictive_accuracy: 0.8826, prior_entropy: 0.9355, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.6246, unweighted_recall: 0.8573,

Lennart Purucker 1 month ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(34) on task Supervised Classification on data set pendigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9627, kappa: 0.9585, kb_relative_information_score: 0.961, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.18, weighted_recall: 0.9627, number_of_instances: 10992, precision: 0.9627, predictive_accuracy: 0.9627, prior_entropy: 3.3208, relative_absolute_error: 0.0415, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.2879, unweighted_recall: 0.9626,

Subhaditya Mukherjee 1 month ago
ran flow torch.nn.TabularClassificationmodel.481f5d46717292fa(1) on task Supervised Classification on data set credit-g

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0288, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.4202, weighted_recall: 0.7, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8813, relative_absolute_error: 0.9701, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0023, unweighted_recall: 0.5,

Subhaditya Mukherjee 1 month ago
ran flow torch.nn.Sequential.bb8de941c9933dd2(1) on task Supervised Classification on data set mnist_784

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9814, kappa: 0.9794, kb_relative_information_score: 0.9799, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1799, weighted_recall: 0.9814, number_of_instances: 70000, precision: 0.9814, predictive_accuracy: 0.9814, prior_entropy: 3.3198, relative_absolute_error: 0.0293, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0537, root_relative_squared_error: 0.1789, unweighted_recall: 0.9814,

Subhaditya Mukherjee 1 month ago
ran flow torch.nn.ResNet.2a12408ac25b016a(1) on task Supervised Classification on data set tiniest-imagenet-200

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

Subhaditya Mukherjee 2 months ago
ran flow torch.nn.TabularClassificationmodel.32873d53d0202561(1) on task Supervised Classification on data set credit-g

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0288, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.4202, weighted_recall: 0.7, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8813, relative_absolute_error: 0.9701, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0023, unweighted_recall: 0.5,

Maurice Melotto 2 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(46) on task Supervised Classification on data set MagicTelescope

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.8786, kappa: 0.7305, kb_relative_information_score: 0.597, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.456, weighted_recall: 0.8805, number_of_instances: 19020, precision: 0.8803, predictive_accuracy: 0.8805, prior_entropy: 0.9355, relative_absolute_error: 0.4263, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6268, unweighted_recall: 0.8551,

Taniya Das 3 months ago
ran flow torch.nn.Model2.adcabb16721694f4(1) on task Supervised Classification on data set IndoorScenes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0.0006, kb_relative_information_score: 0.0199, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.0292, weighted_recall: 0.0428, number_of_instances: 15620, predictive_accuracy: 0.0428, prior_entropy: 5.7539, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.1208, root_mean_squared_error: 0.1208, root_relative_squared_error: 1.0005, unweighted_recall: 0.0152,

Taniya Das 3 months ago
ran flow torch.nn.Net.af3b4d7761ef7af(1) on task Supervised Classification on data set Meta_Album_PNU_Micro

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

Taniya Das 3 months ago
ran flow torch.nn.Model2.f6f4825e90808d59(1) on task Supervised Classification on data set IndoorScenes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, kappa: 0.0015, kb_relative_information_score: 0.0286, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.0292, weighted_recall: 0.041, number_of_instances: 15620, predictive_accuracy: 0.041, prior_entropy: 5.7539, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.1208, root_mean_squared_error: 0.121, root_relative_squared_error: 1.0016, unweighted_recall: 0.0155,

Taniya Das 3 months ago
ran flow torch.nn.Net.32cd490fe404147(1) on task Supervised Classification on data set Meta_Album_PNU_Micro

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

Taniya D 3 months ago
ran flow torch.nn.Model2.8bf0bed05e15174a(1) on task Supervised Classification on data set IndoorScenes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kappa: -0.0003, kb_relative_information_score: 0.0251, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.0292, weighted_recall: 0.0404, number_of_instances: 15620, predictive_accuracy: 0.0404, prior_entropy: 5.7539, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.1208, root_mean_squared_error: 0.1209, root_relative_squared_error: 1.001, unweighted_recall: 0.0148,

Taniya D 3 months ago
ran flow torch.nn.Net.96431ee7ff91cc1b(1) on task Supervised Classification on data set Meta_Album_PNU_Micro

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

Taniya D 3 months ago
ran flow torch.nn.Net.9697466e1fc2753c(1) on task Supervised Classification on data set Meta_Album_PNU_Micro

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

Taniya D 3 months ago
ran flow torch.nn.Net.9c4d970e533385de(1) on task Supervised Classification on data set Meta_Album_PNU_Micro

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

Taniya D 3 months ago
ran flow torch.nn.Net.33d5d8519eae7da2(1) on task Supervised Classification on data set Meta_Album_PNU_Micro

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

Taniya D 3 months ago
ran flow torch.nn.Net.1c39b0d3ec8abb7(1) on task Supervised Classification on data set Meta_Album_PNU_Micro

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

Taniya D 3 months ago
ran flow torch.nn.Net.5a03bdc898bc4471(1) on task Supervised Classification on data set Meta_Album_PNU_Micro

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

Taniya D 3 months ago
ran flow torch.nn.Net.2ffa3de8228eefa8(1) on task Supervised Classification on data set Meta_Album_PNU_Micro

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

Karim Belaid 3 months ago
ran flow sklearn.pipeline.Pipeline(prep ... es.DecisionTreeClassifier))(1) on task Supervised Classification on data set mux6

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.9794, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.5, weighted_recall: 1, number_of_instances: 128, precision: 1, predictive_accuracy: 1, prior_entropy: 1, relative_absolute_error: 0.0236, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.1211, unweighted_recall: 1,

Hari Mallik 3 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(43) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.776, kappa: 0.5006, kb_relative_information_score: 0.3226, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7799, number_of_instances: 768, precision: 0.7755, predictive_accuracy: 0.7799, prior_entropy: 0.9331, relative_absolute_error: 0.6913, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8298, unweighted_recall: 0.7427,

Kamal Sapkota 3 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(43) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.7687, kappa: 0.4835, kb_relative_information_score: 0.3134, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7734, number_of_instances: 768, precision: 0.7685, predictive_accuracy: 0.7734, prior_entropy: 0.9331, relative_absolute_error: 0.6986, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8366, unweighted_recall: 0.7334,

Madhav Prasad Ghimire 3 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(43) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.7604, kappa: 0.4647, kb_relative_information_score: 0.3092, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7656, number_of_instances: 768, precision: 0.7601, predictive_accuracy: 0.7656, prior_entropy: 0.9331, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8425, unweighted_recall: 0.7239,

Niraj Dhital 3 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(43) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7751, kappa: 0.499, kb_relative_information_score: 0.3138, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7786, number_of_instances: 768, precision: 0.7744, predictive_accuracy: 0.7786, prior_entropy: 0.9331, relative_absolute_error: 0.6986, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8376, unweighted_recall: 0.7426,

Dipak Gupta 3 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(43) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.7482, kappa: 0.4374, kb_relative_information_score: 0.3092, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7539, number_of_instances: 768, precision: 0.7477, predictive_accuracy: 0.7539, prior_entropy: 0.9331, relative_absolute_error: 0.7005, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8438, unweighted_recall: 0.7106,

santoshi shrestha 3 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(43) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.7606, kappa: 0.467, kb_relative_information_score: 0.3119, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7643, number_of_instances: 768, precision: 0.7596, predictive_accuracy: 0.7643, prior_entropy: 0.9331, relative_absolute_error: 0.6994, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8427, unweighted_recall: 0.7272,

PURNIMA BAIDYA 3 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(43) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.7482, kappa: 0.4374, kb_relative_information_score: 0.3084, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7539, number_of_instances: 768, precision: 0.7477, predictive_accuracy: 0.7539, prior_entropy: 0.9331, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8413, unweighted_recall: 0.7106,

Kumar Khatri 3 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(43) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.7568, kappa: 0.4573, kb_relative_information_score: 0.3059, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7617, number_of_instances: 768, precision: 0.7562, predictive_accuracy: 0.7617, prior_entropy: 0.9331, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.8409, unweighted_recall: 0.7209,

Hari Mallik 3 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(43) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.7754, kappa: 0.4988, kb_relative_information_score: 0.3164, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7799, number_of_instances: 768, precision: 0.7753, predictive_accuracy: 0.7799, prior_entropy: 0.9331, relative_absolute_error: 0.6953, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8342, unweighted_recall: 0.741,

Santosh Khanal 3 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(43) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7684, kappa: 0.4826, kb_relative_information_score: 0.3104, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7734, number_of_instances: 768, precision: 0.7684, predictive_accuracy: 0.7734, prior_entropy: 0.9331, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8378, unweighted_recall: 0.7325,

Niraj Dhital 3 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(43) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.7529, kappa: 0.4474, kb_relative_information_score: 0.3084, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7591, number_of_instances: 768, precision: 0.753, predictive_accuracy: 0.7591, prior_entropy: 0.9331, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.8409, unweighted_recall: 0.7146,

Madhav Prasad Ghimire 3 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(43) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7622, kappa: 0.4691, kb_relative_information_score: 0.3095, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7669, number_of_instances: 768, precision: 0.7617, predictive_accuracy: 0.7669, prior_entropy: 0.9331, relative_absolute_error: 0.7028, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8366, unweighted_recall: 0.7266,

Madhav Prasad Ghimire 3 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(43) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.7613, kappa: 0.4676, kb_relative_information_score: 0.3122, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7656, number_of_instances: 768, precision: 0.7605, predictive_accuracy: 0.7656, prior_entropy: 0.9331, relative_absolute_error: 0.6987, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8374, unweighted_recall: 0.7265,

Madhav Prasad Ghimire 4 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(45) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.7515, kappa: 0.4469, kb_relative_information_score: 0.3057, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7552, number_of_instances: 768, precision: 0.7503, predictive_accuracy: 0.7552, prior_entropy: 0.9331, relative_absolute_error: 0.7051, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8433, unweighted_recall: 0.7176,

Reena Byanju 5 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(45) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.7636, kappa: 0.4726, kb_relative_information_score: 0.3104, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7682, number_of_instances: 768, precision: 0.7631, predictive_accuracy: 0.7682, prior_entropy: 0.9331, relative_absolute_error: 0.6997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8405, unweighted_recall: 0.7285,

Jyoti K.C. 5 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(45) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.771, kappa: 0.4885, kb_relative_information_score: 0.3145, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4545, weighted_recall: 0.776, number_of_instances: 768, precision: 0.7711, predictive_accuracy: 0.776, prior_entropy: 0.9331, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8373, unweighted_recall: 0.7354,

Prabha Prajapati 5 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(45) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7686, kappa: 0.4847, kb_relative_information_score: 0.3092, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7721, number_of_instances: 768, precision: 0.7677, predictive_accuracy: 0.7721, prior_entropy: 0.9331, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8407, unweighted_recall: 0.7358,

Anjana Kharbuja 5 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(45) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.761, kappa: 0.4666, kb_relative_information_score: 0.3146, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7656, number_of_instances: 768, precision: 0.7604, predictive_accuracy: 0.7656, prior_entropy: 0.9331, relative_absolute_error: 0.6966, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.397, root_relative_squared_error: 0.8329, unweighted_recall: 0.7256,

Ganga Gharty Chhetri 5 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(45) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7633, kappa: 0.4716, kb_relative_information_score: 0.314, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7682, number_of_instances: 768, precision: 0.763, predictive_accuracy: 0.7682, prior_entropy: 0.9331, relative_absolute_error: 0.6975, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.398, root_relative_squared_error: 0.8351, unweighted_recall: 0.7276,

Deval Prasad Bhattarai 5 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(45) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7595, kappa: 0.4632, kb_relative_information_score: 0.3157, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7643, number_of_instances: 768, precision: 0.7589, predictive_accuracy: 0.7643, prior_entropy: 0.9331, relative_absolute_error: 0.6967, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8335, unweighted_recall: 0.7238,

Dinesh Kumar Chaudhary 5 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(45) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.771, kappa: 0.4885, kb_relative_information_score: 0.3106, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4545, weighted_recall: 0.776, number_of_instances: 768, precision: 0.7711, predictive_accuracy: 0.776, prior_entropy: 0.9331, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8398, unweighted_recall: 0.7354,

Raihan Shrestha 5 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(45) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.7683, kappa: 0.4838, kb_relative_information_score: 0.3124, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7721, number_of_instances: 768, precision: 0.7675, predictive_accuracy: 0.7721, prior_entropy: 0.9331, relative_absolute_error: 0.7003, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8383, unweighted_recall: 0.735,

Jasana Maharjan 5 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(45) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.7674, kappa: 0.4822, kb_relative_information_score: 0.315, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7708, number_of_instances: 768, precision: 0.7664, predictive_accuracy: 0.7708, prior_entropy: 0.9331, relative_absolute_error: 0.6974, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.8358, unweighted_recall: 0.7348,

Jeena Amatya 5 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(45) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7521, kappa: 0.4459, kb_relative_information_score: 0.3129, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7578, number_of_instances: 768, precision: 0.7518, predictive_accuracy: 0.7578, prior_entropy: 0.9331, relative_absolute_error: 0.699, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8384, unweighted_recall: 0.7144,

Subash Nyaupane 5 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(45) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.7553, kappa: 0.4552, kb_relative_information_score: 0.3066, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7591, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7591, prior_entropy: 0.9331, relative_absolute_error: 0.7051, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.841, unweighted_recall: 0.7215,

Kedar Nath Chhatkuli 5 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(45) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7654, kappa: 0.4757, kb_relative_information_score: 0.3071, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7708, number_of_instances: 768, precision: 0.7655, predictive_accuracy: 0.7708, prior_entropy: 0.9331, relative_absolute_error: 0.7033, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8404, unweighted_recall: 0.7288,

Yogesh Maharjan 5 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(45) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7597, kappa: 0.4655, kb_relative_information_score: 0.3114, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4545, weighted_recall: 0.763, number_of_instances: 768, precision: 0.7586, predictive_accuracy: 0.763, prior_entropy: 0.9331, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.399, root_relative_squared_error: 0.837, unweighted_recall: 0.7271,

Nabin Pandit 5 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(45) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.7707, kappa: 0.4887, kb_relative_information_score: 0.304, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7747, number_of_instances: 768, precision: 0.7701, predictive_accuracy: 0.7747, prior_entropy: 0.9331, relative_absolute_error: 0.7064, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8444, unweighted_recall: 0.737,

Sameer poudel 5 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(45) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.763, kappa: 0.472, kb_relative_information_score: 0.3102, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7669, number_of_instances: 768, precision: 0.7621, predictive_accuracy: 0.7669, prior_entropy: 0.9331, relative_absolute_error: 0.6999, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8399, unweighted_recall: 0.7292,

Pramod Sen Oli 5 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(45) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.7651, kappa: 0.476, kb_relative_information_score: 0.3126, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7695, number_of_instances: 768, precision: 0.7645, predictive_accuracy: 0.7695, prior_entropy: 0.9331, relative_absolute_error: 0.699, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8367, unweighted_recall: 0.7304,

Chandramani Aryal 5 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(45) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.7684, kappa: 0.4826, kb_relative_information_score: 0.31, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7734, number_of_instances: 768, precision: 0.7684, predictive_accuracy: 0.7734, prior_entropy: 0.9331, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8399, unweighted_recall: 0.7325,

Hari Nandan Nath 5 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(45) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.7728, kappa: 0.4928, kb_relative_information_score: 0.3112, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7773, number_of_instances: 768, precision: 0.7726, predictive_accuracy: 0.7773, prior_entropy: 0.9331, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8353, unweighted_recall: 0.7381,

Madhav Prasad Ghimire 5 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(45) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.758, kappa: 0.4597, kb_relative_information_score: 0.315, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4545, weighted_recall: 0.763, number_of_instances: 768, precision: 0.7575, predictive_accuracy: 0.763, prior_entropy: 0.9331, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.836, unweighted_recall: 0.7219,

Madhav Prasad Ghimire 5 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(45) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.7616, kappa: 0.4672, kb_relative_information_score: 0.31, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7669, number_of_instances: 768, precision: 0.7615, predictive_accuracy: 0.7669, prior_entropy: 0.9331, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8365, unweighted_recall: 0.7249,

Madhav Prasad Ghimire 5 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(45) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7562, kappa: 0.4567, kb_relative_information_score: 0.3139, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7604, number_of_instances: 768, precision: 0.7553, predictive_accuracy: 0.7604, prior_entropy: 0.9331, relative_absolute_error: 0.6971, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8364, unweighted_recall: 0.7216,

Aatiz Ghimire 5 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(45) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7689, kappa: 0.4844, kb_relative_information_score: 0.3136, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7734, number_of_instances: 768, precision: 0.7686, predictive_accuracy: 0.7734, prior_entropy: 0.9331, relative_absolute_error: 0.6976, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8383, unweighted_recall: 0.7342,

Darren Moreland 5 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(43) on task Supervised Classification on data set MagicTelescope

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8778, kappa: 0.7288, kb_relative_information_score: 0.5977, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.456, weighted_recall: 0.8798, number_of_instances: 19020, precision: 0.8795, predictive_accuracy: 0.8798, prior_entropy: 0.9355, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.6256, unweighted_recall: 0.8541,

Patryk Grodek 5 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(44) on task Supervised Classification on data set MagicTelescope

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.8798, kappa: 0.7332, kb_relative_information_score: 0.5973, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.456, weighted_recall: 0.8817, number_of_instances: 19020, precision: 0.8814, predictive_accuracy: 0.8817, prior_entropy: 0.9355, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.6265, unweighted_recall: 0.8565,

Taniya D 5 months ago
ran flow tensorflow.keras.src.engine.fu ... ctional.Functional.44afdc78(1) on task Supervised Classification on data set IndoorScenes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.014, kappa: 0.0032, kb_relative_information_score: 0.0487, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.0292, weighted_recall: 0.0167, number_of_instances: 15620, precision: 0.0284, predictive_accuracy: 0.0167, prior_entropy: 5.7539, relative_absolute_error: 1.0082, root_mean_prior_squared_error: 0.1208, root_mean_squared_error: 0.122, root_relative_squared_error: 1.0098, unweighted_recall: 0.0161,

Taniya D 5 months ago
ran flow tensorflow.keras.src.engine.se ... uential.Sequential.faf20af1(1) on task Supervised Classification on data set Meta_Album_PNU_Micro

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

Taniya D 5 months ago
ran flow tensorflow.keras.src.engine.se ... uential.Sequential.55432294(1) on task Supervised Classification on data set Meta_Album_PNU_Micro

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

Taniya D 5 months ago
ran flow tensorflow.keras.src.engine.fu ... ctional.Functional.44afdc78(1) on task Supervised Classification on data set IndoorScenes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5049, f_measure: 0.0129, kappa: 0.0014, kb_relative_information_score: 0.0484, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.0292, weighted_recall: 0.0144, number_of_instances: 15620, precision: 0.0255, predictive_accuracy: 0.0144, prior_entropy: 5.7539, relative_absolute_error: 1.0081, root_mean_prior_squared_error: 0.1208, root_mean_squared_error: 0.1221, root_relative_squared_error: 1.0113, unweighted_recall: 0.0135,

Rocío Ventura Abreu 5 months ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(23) on task Supervised Classification on data set eeg-eye-state

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,

Rocío Ventura Abreu 5 months ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(23) on task Supervised Classification on data set eeg-eye-state

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,

Vinicius Alves 7 months ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(33) on task Supervised Classification on data set pendigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9634, kappa: 0.9593, kb_relative_information_score: 0.9617, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.18, weighted_recall: 0.9633, number_of_instances: 10992, precision: 0.9634, predictive_accuracy: 0.9633, prior_entropy: 3.3208, relative_absolute_error: 0.0407, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2855, unweighted_recall: 0.9633,

Niro Tsou 7 months ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(32) on task Supervised Classification on data set pendigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9632, kappa: 0.9591, kb_relative_information_score: 0.9615, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.18, weighted_recall: 0.9632, number_of_instances: 10992, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 3.3208, relative_absolute_error: 0.0409, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.2862, unweighted_recall: 0.9632,

Soheila Farokhi 7 months ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(5) on task Supervised Classification on data set credit-g

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.7228, kappa: 0.3122, kb_relative_information_score: 0.1907, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.4202, weighted_recall: 0.748, number_of_instances: 1000, precision: 0.7314, predictive_accuracy: 0.748, prior_entropy: 0.8813, relative_absolute_error: 0.7966, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.9092, unweighted_recall: 0.6362,

Taniya D 7 months ago
ran flow torch.nn.Model2.a524e7d6f2f5accd(1) on task Supervised Classification on data set IndoorScenes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kappa: 0.0008, kb_relative_information_score: 0.0467, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.0292, weighted_recall: 0.0307, number_of_instances: 15620, predictive_accuracy: 0.0307, prior_entropy: 5.7539, relative_absolute_error: 1.0075, root_mean_prior_squared_error: 0.1208, root_mean_squared_error: 0.1212, root_relative_squared_error: 1.0039, unweighted_recall: 0.0155,

Taniya D 7 months ago
ran flow torch.nn.Net.e7f7ff5c82055672(1) on task Supervised Classification on data set Meta_Album_PNU_Micro

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

Taniya D 7 months ago
ran flow torch.nn.Model2.271094a58cd7bbd(1) on task Supervised Classification on data set IndoorScenes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kappa: 0.0016, kb_relative_information_score: 0.0462, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.0292, weighted_recall: 0.0343, number_of_instances: 15620, predictive_accuracy: 0.0343, prior_entropy: 5.7539, relative_absolute_error: 1.0075, root_mean_prior_squared_error: 0.1208, root_mean_squared_error: 0.1212, root_relative_squared_error: 1.0038, unweighted_recall: 0.0158,

Ralph Sharifzadeh 7 months ago
ran flow tensorflow.keras.src.engine.fu ... ctional.Functional.f84255b5(1) on task Supervised Classification on data set IndoorScenes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.3623, kappa: 0.3706, kb_relative_information_score: 0.4295, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.0292, weighted_recall: 0.3867, number_of_instances: 15620, precision: 0.423, predictive_accuracy: 0.3867, prior_entropy: 5.7539, relative_absolute_error: 0.7751, root_mean_prior_squared_error: 0.1208, root_mean_squared_error: 0.107, root_relative_squared_error: 0.8861, unweighted_recall: 0.308,

Ralph Sharifzadeh 7 months ago
ran flow tensorflow.keras.src.engine.fu ... ctional.Functional.22c4e284(1) on task Supervised Classification on data set IndoorScenes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, kappa: 0.3533, kb_relative_information_score: 0.4175, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.0292, weighted_recall: 0.371, number_of_instances: 15620, predictive_accuracy: 0.371, prior_entropy: 5.7539, relative_absolute_error: 0.7761, root_mean_prior_squared_error: 0.1208, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.9002, unweighted_recall: 0.2763,

Ralph Sharifzadeh 7 months ago
ran flow tensorflow.keras.src.engine.fu ... ctional.Functional.a55e1686(1) on task Supervised Classification on data set IndoorScenes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, kappa: 0.4503, kb_relative_information_score: 0.5226, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0292, weighted_recall: 0.4649, number_of_instances: 15620, predictive_accuracy: 0.4649, prior_entropy: 5.7539, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.1208, root_mean_squared_error: 0.1014, root_relative_squared_error: 0.8395, unweighted_recall: 0.3639,

Ralph Sharifzadeh 7 months ago
ran flow tensorflow.keras.src.engine.fu ... ctional.Functional.9cc09fa5(1) on task Supervised Classification on data set IndoorScenes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, kappa: 0.4758, kb_relative_information_score: 0.5636, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.0292, weighted_recall: 0.4887, number_of_instances: 15620, predictive_accuracy: 0.4887, prior_entropy: 5.7539, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.1208, root_mean_squared_error: 0.1001, root_relative_squared_error: 0.8284, unweighted_recall: 0.4065,

Marieke Groep 7 months ago
ran flow tensorflow.keras.src.engine.fu ... ctional.Functional.d8d8ef97(1) on task Supervised Classification on data set IndoorScenes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.5595, kappa: 0.5554, kb_relative_information_score: 0.6447, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0292, weighted_recall: 0.5657, number_of_instances: 15620, precision: 0.5711, predictive_accuracy: 0.5657, prior_entropy: 5.7539, relative_absolute_error: 0.5392, root_mean_prior_squared_error: 0.1208, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.7678, unweighted_recall: 0.5161,

simon habraken 7 months ago
ran flow tensorflow.keras.src.engine.fu ... ctional.Functional.a5f4e592(1) on task Supervised Classification on data set IndoorScenes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.3136, kappa: 0.3096, kb_relative_information_score: 0.4147, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.0292, weighted_recall: 0.3272, number_of_instances: 15620, precision: 0.332, predictive_accuracy: 0.3272, prior_entropy: 5.7539, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.1208, root_mean_squared_error: 0.1107, root_relative_squared_error: 0.917, unweighted_recall: 0.2659,

Marieke Groep 7 months ago
ran flow tensorflow.keras.src.engine.fu ... ctional.Functional.9636b25c(1) on task Supervised Classification on data set IndoorScenes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.5802, kappa: 0.5748, kb_relative_information_score: 0.6564, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0292, weighted_recall: 0.585, number_of_instances: 15620, precision: 0.5879, predictive_accuracy: 0.585, prior_entropy: 5.7539, relative_absolute_error: 0.5347, root_mean_prior_squared_error: 0.1208, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.751, unweighted_recall: 0.534,

Gonçalo Esteves 7 months ago
ran flow sklearn.pipeline.Pipeline(impu ... oosting.AdaBoostClassifier)(3) on task Supervised Classification on data set breast-w

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9613, kappa: 0.9143, kb_relative_information_score: 0.164, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9614, number_of_instances: 699, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.9293, relative_absolute_error: 0.8357, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8347, unweighted_recall: 0.9558,

Gonçalo Esteves 7 months ago
ran flow sklearn.pipeline.Pipeline(impu ... oosting.AdaBoostClassifier)(3) on task Supervised Classification on data set churn

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8698, kappa: 0.4149, kb_relative_information_score: -2.1455, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.2429, weighted_recall: 0.8842, number_of_instances: 5000, precision: 0.8691, predictive_accuracy: 0.8842, prior_entropy: 0.5879, relative_absolute_error: 1.9965, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.4854, root_relative_squared_error: 1.3932, unweighted_recall: 0.6691,

Gonçalo Esteves 8 months ago
ran flow sklearn.pipeline.Pipeline(colu ... es.DecisionTreeClassifier)(10) on task Supervised Classification on data set kr-vs-kp

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 0.9912, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.499, weighted_recall: 0.9956, number_of_instances: 3196, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9986, relative_absolute_error: 0.0088, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0662, root_relative_squared_error: 0.1325, unweighted_recall: 0.9956,

Taniya D 8 months ago
ran flow tensorflow.keras.src.engine.fu ... ctional.Functional.9d061848(1) on task Supervised Classification on data set Meta_Album_PNU_Micro

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

Taniya D 8 months ago
ran flow tensorflow.keras.src.engine.se ... uential.Sequential.55432294(1) on task Supervised Classification on data set Meta_Album_PNU_Micro

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

Taniya D 8 months ago
ran flow tensorflow.keras.src.engine.se ... uential.Sequential.55432294(1) on task Supervised Classification on data set Meta_Album_PNU_Micro

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

Taniya D 8 months ago
ran flow tensorflow.keras.src.engine.se ... uential.Sequential.55432294(1) on task Supervised Classification on data set Meta_Album_PNU_Micro

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

Taniya D 8 months ago
ran flow tensorflow.keras.src.engine.se ... uential.Sequential.55432294(1) on task Supervised Classification on data set Meta_Album_PNU_Micro

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

Taniya D 8 months ago
ran flow tensorflow.keras.src.engine.fu ... ctional.Functional.b0c53145(1) on task Supervised Classification on data set Meta_Album_PNU_Micro

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).