Run
2040501

Run 2040501

Task 145682 (Supervised Classification) spectrometer Uploaded 12-04-2017 by Milan Tresoor
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Flow

weka.RandomForest(13)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
weka.RandomForest(13)_P100
weka.RandomForest(13)_I100
weka.RandomForest(13)_num-slots1
weka.RandomForest(13)_K3
weka.RandomForest(13)_M1.0
weka.RandomForest(13)_V0.001
weka.RandomForest(13)_S1
weka.RandomForest(13)_Btrue
weka.RandomForest(13)_batch-size200

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
0.9269
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5031
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5109
Cross-validation details (10-fold Crossvalidation)
KB relative information score
276.4464
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0285
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
0.4862
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5386
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.5386
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.718
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1135
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.807
Cross-validation details (10-fold Crossvalidation)