DEVELOPMENT... OpenML
Run
16086

Run 16086

Task 47 (Supervised Classification) tae Uploaded 04-06-2014 by Felicia West
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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)_I160
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
0.8161
Per class
F measure
0.7016
Per class
Kappa
0.553
KB relative information score
88.7798
Mean absolute error
0.2014
Mean prior absolute error
0.4443
Number of instances
151
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7015
Per class
Predictive accuracy
0.702
Prior entropy
1.5845
Recall
0.702
Per class
Relative absolute error
0.4532
Root mean prior squared error
0.4713
Root mean squared error
0.4389
Root relative squared error
0.9311
SciMark benchmark
932.7714[557.443486323891954.1742964201597483.44967579697345909.90626928802961758.8835103978397]