DEVELOPMENT... OpenML
Run
18654

Run 18654

Task 9 (Supervised Classification) autos 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_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
0.9166
Per class
F measure
0.8187
Per class
Kappa
0.7639
KB relative information score
157.5754
Mean absolute error
0.0515
Mean prior absolute error
0.2209
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.821
Per class
Predictive accuracy
0.8195
Prior entropy
2.3268
Recall
0.8195
Per class
Relative absolute error
0.2331
Root mean prior squared error
0.3318
Root mean squared error
0.2155
Root relative squared error
0.6495
SciMark benchmark
886.6112[554.0789831458634990.2132722667832467.86139427096174889.83024838585941531.0719001027685]