Run
2040472

Run 2040472

Task 145682 (Supervised Classification) spectrometer Uploaded 11-04-2017 by Wouter Nuijten
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.CVParameterSelection_RandomForest(1)R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
weka.RandomForest(12)_P100
weka.RandomForest(12)_I1000
weka.RandomForest(12)_num-slots1
weka.RandomForest(12)_K0
weka.RandomForest(12)_M1.0
weka.RandomForest(12)_V0.001
weka.RandomForest(12)_S1
weka.CVParameterSelection_RandomForest(1)_X10
weka.CVParameterSelection_RandomForest(1)_S1
weka.CVParameterSelection_RandomForest(1)_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
0.9395
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5383
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5523
Cross-validation details (10-fold Crossvalidation)
KB relative information score
272.8174
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0291
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
0.5283
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5782
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.5782
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7334
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1129
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.803
Cross-validation details (10-fold Crossvalidation)