DEVELOPMENT... OpenML
Run
22549

Run 22549

Task 30 (Supervised Classification) page-blocks Uploaded 22-06-2014 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)_I80
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
0.9527
Per class
F measure
0.9744
Per class
Kappa
0.865
KB relative information score
4466.8985
Mean absolute error
0.0103
Mean prior absolute error
0.0762
Number of instances
5473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9742
Per class
Predictive accuracy
0.9746
Prior entropy
0.6391
Recall
0.9746
Per class
Relative absolute error
0.1347
Root mean prior squared error
0.1949
Root mean squared error
0.0997
Root relative squared error
0.5116
SciMark benchmark
945.6796[552.14963096928061014.7208839634673483.88543266528814913.07556704216551764.5664888040972]