Run
581253

Run 581253

Task 21 (Supervised Classification) car 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_REPTree(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.REPTree(15)_M2
weka.REPTree(15)_V0.001
weka.REPTree(15)_N3
weka.REPTree(15)_S1
weka.REPTree(15)_L-1
weka.REPTree(15)_I0.0
weka.MultiBoostAB_REPTree(3)_C3
weka.MultiBoostAB_REPTree(3)_P100
weka.MultiBoostAB_REPTree(3)_S1
weka.MultiBoostAB_REPTree(3)_I10
weka.MultiBoostAB_REPTree(3)_Wweka.classifiers.trees.REPTree

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
0.9917
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9276
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8431
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1420.9858
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0359
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.229
Cross-validation details (10-fold Crossvalidation)
Number of instances
1728
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
0.9286
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9277
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2099
Cross-validation details (10-fold Crossvalidation)
Recall
0.9277
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1566
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3381
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1745
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5162
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1312.8509
UserCPU time millis
40
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
40
Cross-validation details (10-fold Crossvalidation)