Run
533125

Run 533125

Task 3784 (Supervised Classification) analcatdata_seropositive Uploaded 05-03-2016 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
0.9741
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9462
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8802
Cross-validation details (10-fold Crossvalidation)
KB relative information score
109.1435
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0834
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4548
Cross-validation details (10-fold Crossvalidation)
Number of instances
132
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 7, 6.1]
Precision
0.9485
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.947
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9347
Cross-validation details (10-fold Crossvalidation)
Recall
0.947
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1834
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4765
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2068
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.434
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1806.5905
UserCPU time millis
15.6001
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
15.6001
Cross-validation details (10-fold Crossvalidation)