Run
2081922

Run 2081922

Task 145682 (Supervised Classification) spectrometer Uploaded 21-04-2017 by Irma van den Brandt
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Flow

weka.MultiBoostAB_RandomForest(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.RandomForest(12)_P100
weka.RandomForest(12)_I100
weka.RandomForest(12)_num-slots1
weka.RandomForest(12)_K0
weka.RandomForest(12)_M1.0
weka.RandomForest(12)_V0.001
weka.RandomForest(12)_S1
weka.MultiBoostAB_RandomForest(3)_C3
weka.MultiBoostAB_RandomForest(3)_P100
weka.MultiBoostAB_RandomForest(3)_S1
weka.MultiBoostAB_RandomForest(3)_I10
weka.MultiBoostAB_RandomForest(3)_Wweka.classifiers.trees.RandomForest

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
0.9332
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5374
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5449
Cross-validation details (10-fold Crossvalidation)
KB relative information score
274.171
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0287
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
0.5206
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5706
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.5706
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7234
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1127
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8012
Cross-validation details (10-fold Crossvalidation)