DEVELOPMENT... OpenML
Run
18636

Run 18636

Task 4 (Supervised Classification) labor Uploaded 11-06-2014 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_REPTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_REPTree(1)_C3
weka.MultiBoostAB_REPTree(1)_I20
weka.MultiBoostAB_REPTree(1)_P100
weka.MultiBoostAB_REPTree(1)_S1
weka.MultiBoostAB_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.9041
Per class
F measure
0.8596
Per class
Kappa
0.6919
KB relative information score
36.4446
Mean absolute error
0.1612
Mean prior absolute error
0.457
Number of instances
57
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8596
Per class
Predictive accuracy
0.8596
Prior entropy
0.9393
Recall
0.8596
Per class
Relative absolute error
0.3526
Root mean prior squared error
0.4773
Root mean squared error
0.3723
Root relative squared error
0.78
SciMark benchmark
925.6283[561.0294385434213995.3280053932883450.77323163581326891.64624114952131729.364580914293]