Run
581031

Run 581031

Task 32 (Supervised Classification) pendigits Uploaded 06-06-2016 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.MultiBoostAB_NaiveBayes(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(3)_C3
weka.MultiBoostAB_NaiveBayes(3)_P100
weka.MultiBoostAB_NaiveBayes(3)_S1
weka.MultiBoostAB_NaiveBayes(3)_I10
weka.MultiBoostAB_NaiveBayes(3)_Wweka.classifiers.bayes.NaiveBayes

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
0.9537
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8533
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8407
Cross-validation details (10-fold Crossvalidation)
KB relative information score
9343.9034
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0289
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
10992
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_101, amd64, Linux, 3.13.0-86-generic]
Precision
0.8624
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8566
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3208
Cross-validation details (10-fold Crossvalidation)
Recall
0.8566
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1608
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1673
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5577
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1897.9656
UserCPU time millis
9630
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
3500
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
6130
Cross-validation details (10-fold Crossvalidation)