DEVELOPMENT... OpenML
Run
22200

Run 22200

Task 12 (Supervised Classification) mfeat-factors Uploaded 21-06-2014 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
0.9926
Per class
F measure
0.978
Per class
Kappa
0.9756
KB relative information score
1955.5903
Mean absolute error
0.0044
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9781
Per class
Predictive accuracy
0.978
Prior entropy
3.3219
Recall
0.978
Per class
Relative absolute error
0.0245
Root mean prior squared error
0.3
Root mean squared error
0.0638
Root relative squared error
0.2128
SciMark benchmark
944.2451[555.31379242088221013.9200573100866483.0147548568529908.95975824819551760.017229859821]