Run
575950

Run 575950

Task 53 (Supervised Classification) vehicle Uploaded 01-06-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AttributeSelectedClassifier_AdaBoostM1_IBk(1)Weka implementation of AttributeSelectedClassifier
weka.IBk(7)_K1
weka.IBk(7)_W0
weka.IBk(7)_Atrue
weka.AttributeSelectedClassifier_AdaBoostM1_IBk(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_AdaBoostM1_IBk(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_AdaBoostM1_IBk(1)_Wweka.classifiers.meta.AdaBoostM1
weka.AdaBoostM1_IBk(5)_P100
weka.AdaBoostM1_IBk(5)_S1
weka.AdaBoostM1_IBk(5)_I10
weka.AdaBoostM1_IBk(5)_Wweka.classifiers.lazy.IBk

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
0.7562
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6407
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5222
Cross-validation details (10-fold Crossvalidation)
KB relative information score
479.2445
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1801
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3748
Cross-validation details (10-fold Crossvalidation)
Number of instances
846
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.6401
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6418
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.6418
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4805
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4329
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4221
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9749
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1440.0291
UserCPU time millis
120
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
50
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
70
Cross-validation details (10-fold Crossvalidation)