Run
548914

Run 548914

Task 3817 (Supervised Classification) spectrometer Uploaded 05-04-2016 by Martijn Post
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • study_15 study_20 weka weka_3.7.13
Issue #Downvotes for this reason By


Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_RandomForest(3)Weka implementation of AttributeSelectedClassifier
weka.RandomForest(9)_I100
weka.RandomForest(9)_K0
weka.RandomForest(9)_S1
weka.RandomForest(9)_num-slots1
weka.CfsSubsetEval(5)_P1
weka.CfsSubsetEval(5)_E1
weka.BestFirst(4)_D1
weka.BestFirst(4)_N5
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_RandomForest(3)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_RandomForest(3)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_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.

22 Evaluation measures

Area under ROC curve
0.991
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9646
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8015
Cross-validation details (10-fold Crossvalidation)
KB relative information score
360.2509
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0466
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1869
Cross-validation details (10-fold Crossvalidation)
Number of instances
531
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 10, 10.0]
Precision
0.965
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9661
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.4849
Cross-validation details (10-fold Crossvalidation)
Recall
0.9661
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2493
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3047
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1491
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4892
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1860.4354
UserCPU time millis
15.625
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
15.625
Cross-validation details (10-fold Crossvalidation)