Run
10437858

Run 10437858

Task 211690 (Supervised Regression) liver-disorders Uploaded 09-03-2020 by Koralp Catalsakal
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Flow

Framework.custom_sklearn_pipeline.S7_Branch_Pipeline(cluster_block=Framewor k.building_blocks.ClusterBlock(test_set_model=sklearn.neighbors.classificat ion.KNeighborsClassifier,training_set_model=sklearn.cluster.k_means_.KMeans ),ensemble_block=Framework.building_blocks.EnsembleBlock,explainer_block=Fr amework.building_blocks.ExplainerBlock,processing_block=Framework.building_ blocks.ProcessingBlock)(1)Data -> Explainer -> Shapley -> Cluster -> Ensemble -> Prediction
Framework.building_blocks.ClusterBlock(test_set_model=sklearn.neighbors.classification.KNeighborsClassifier,training_set_model=sklearn.cluster.k_means_.KMeans)(1)_nClustersnull
sklearn.neighbors.classification.KNeighborsClassifier(41)_algorithm"auto"
sklearn.neighbors.classification.KNeighborsClassifier(41)_leaf_size30
sklearn.neighbors.classification.KNeighborsClassifier(41)_metric"minkowski"
sklearn.neighbors.classification.KNeighborsClassifier(41)_metric_paramsnull
sklearn.neighbors.classification.KNeighborsClassifier(41)_n_jobsnull
sklearn.neighbors.classification.KNeighborsClassifier(41)_n_neighbors3
sklearn.neighbors.classification.KNeighborsClassifier(41)_p2
sklearn.neighbors.classification.KNeighborsClassifier(41)_weights"uniform"
sklearn.cluster.k_means_.KMeans(1)_algorithm"auto"
sklearn.cluster.k_means_.KMeans(1)_copy_xtrue
sklearn.cluster.k_means_.KMeans(1)_init"k-means++"
sklearn.cluster.k_means_.KMeans(1)_max_iter300
sklearn.cluster.k_means_.KMeans(1)_n_clusters3
sklearn.cluster.k_means_.KMeans(1)_n_init10
sklearn.cluster.k_means_.KMeans(1)_n_jobsnull
sklearn.cluster.k_means_.KMeans(1)_precompute_distances"auto"
sklearn.cluster.k_means_.KMeans(1)_random_state0
sklearn.cluster.k_means_.KMeans(1)_tol0.0001
sklearn.cluster.k_means_.KMeans(1)_verbose0
Framework.building_blocks.EnsembleBlock(1)_keyword_args{"early_stopping_rounds": 100, "evals_result": {}, "num_boost_round": 20000, "verbose_eval": 0}
Framework.building_blocks.EnsembleBlock(1)_model_type"XGBoost"
Framework.building_blocks.EnsembleBlock(1)_paramsnull
Framework.building_blocks.ExplainerBlock(1)_explainer_type"Linear"
Framework.building_blocks.ExplainerBlock(1)_kwargsnull
Framework.building_blocks.ExplainerBlock(1)_paramsnull

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

7 Evaluation measures

Mean absolute error
2.4924
Cross-validation details (33% Holdout set)
Mean prior absolute error
2.7953
Cross-validation details (33% Holdout set)
Number of instances
113
Cross-validation details (33% Holdout set)
Relative absolute error
0.8916
Cross-validation details (33% Holdout set)
Root mean prior squared error
3.5579
Cross-validation details (33% Holdout set)
Root mean squared error
3.1629
Cross-validation details (33% Holdout set)
Root relative squared error
0.889
Cross-validation details (33% Holdout set)