DEVELOPMENT... OpenML
Run
19846

Run 19846

Task 21 (Supervised Classification) car Uploaded 17-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_LMT(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LMT(1)_I-1
weka.LMT(1)_M15
weka.LMT(1)_W0.0
weka.MultiBoostAB_LMT(1)_C3
weka.MultiBoostAB_LMT(1)_I10
weka.MultiBoostAB_LMT(1)_P100
weka.MultiBoostAB_LMT(1)_S1
weka.MultiBoostAB_LMT(1)_Wweka.classifiers.trees.LMT

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
0.9982
Per class
F measure
0.9855
Per class
Kappa
0.9685
KB relative information score
1655.4001
Mean absolute error
0.0079
Mean prior absolute error
0.229
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9857
Per class
Predictive accuracy
0.9855
Prior entropy
1.2099
Recall
0.9855
Per class
Relative absolute error
0.0344
Root mean prior squared error
0.3381
Root mean squared error
0.0782
Root relative squared error
0.2312
SciMark benchmark
904.1598[559.7691083998442970.7581834323389458.66799968249853864.02104918156971667.5827700405991]