Run
1875061

Run 1875061

Task 145682 (Supervised Classification) spectrometer Uploaded 30-03-2017 by Frank Ritchi
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Flow

weka.RandomForest(12)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
weka.RandomForest(12)_P100
weka.RandomForest(12)_I100
weka.RandomForest(12)_num-slots3
weka.RandomForest(12)_K7
weka.RandomForest(12)_M1.0
weka.RandomForest(12)_V0.001
weka.RandomForest(12)_S7
weka.RandomForest(12)_depth3
weka.RandomForest(12)_num-decimal-places3

Result files

xml
Description

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

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

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

17 Evaluation measures

Area under ROC curve
0.9095
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2822
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3361
Cross-validation details (10-fold Crossvalidation)
KB relative information score
184.9889
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0344
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0396
Cross-validation details (10-fold Crossvalidation)
Number of instances
531
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.2681
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3823
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.3823
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8674
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1271
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9037
Cross-validation details (10-fold Crossvalidation)