DEVELOPMENT... OpenML
Run
19494

Run 19494

Task 12 (Supervised Classification) mfeat-factors Uploaded 16-06-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_RandomTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomTree(1)_C3
weka.MultiBoostAB_RandomTree(1)_I20
weka.MultiBoostAB_RandomTree(1)_P100
weka.MultiBoostAB_RandomTree(1)_S1
weka.MultiBoostAB_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9131
Per class
F measure
0.8437
Per class
Kappa
0.8261
KB relative information score
1672.6779
Mean absolute error
0.0313
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8444
Per class
Predictive accuracy
0.8435
Prior entropy
3.3219
Recall
0.8435
Per class
Relative absolute error
0.1739
Root mean prior squared error
0.3
Root mean squared error
0.1769
Root relative squared error
0.5897
SciMark benchmark
855.6746[520.3581864536111970.7581834323389456.13504290172403856.67975458157141474.442046154936]