Run
9204569

Run 9204569

Task 3954 (Supervised Classification) MagicTelescope Uploaded 24-09-2018 by Erin LeDell
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Flow

h2o.H2OGBMClassifier(1)Automatically created scikit-learn flow.
h2o.H2OGBMClassifier(1)_balance_classestrue
h2o.H2OGBMClassifier(1)_col_sample_rate0.5
h2o.H2OGBMClassifier(1)_col_sample_rate_per_tree0.5
h2o.H2OGBMClassifier(1)_distribution"bernoulli"
h2o.H2OGBMClassifier(1)_learn_rate0.1
h2o.H2OGBMClassifier(1)_max_depth7
h2o.H2OGBMClassifier(1)_min_rows1
h2o.H2OGBMClassifier(1)_model_id"gbm"
h2o.H2OGBMClassifier(1)_nbins255
h2o.H2OGBMClassifier(1)_nthread-1
h2o.H2OGBMClassifier(1)_ntrees100
h2o.H2OGBMClassifier(1)_ram"60G"
h2o.H2OGBMClassifier(1)_sample_rate0.9
h2o.H2OGBMClassifier(1)_seed1
h2o.H2OGBMClassifier(1)_stopping_metric"logloss"
h2o.H2OGBMClassifier(1)_stopping_rounds20
h2o.H2OGBMClassifier(1)_stopping_tolerance0.01

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.

17 Evaluation measures

Area under ROC curve
0.9351 ± 0.007
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8775 ± 0.0072
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7275 ± 0.0162
Cross-validation details (10-fold Crossvalidation)
KB relative information score
11783.2223 ± 19.3202
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1828 ± 0.0045
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.456 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Number of instances
19020
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8809 ± 0.0066
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8801 ± 0.0068
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9355
Cross-validation details (10-fold Crossvalidation)
Recall
0.8801 ± 0.0068
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4009 ± 0.0097
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4775 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2988 ± 0.0065
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6259 ± 0.0135
Cross-validation details (10-fold Crossvalidation)