DEVELOPMENT... OpenML
Run
22666

Run 22666

Task 47 (Supervised Classification) tae Uploaded 22-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_LADTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LADTree(1)_B10
weka.MultiBoostAB_LADTree(1)_C3
weka.MultiBoostAB_LADTree(1)_I10
weka.MultiBoostAB_LADTree(1)_P100
weka.MultiBoostAB_LADTree(1)_S1
weka.MultiBoostAB_LADTree(1)_Wweka.classifiers.trees.LADTree

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
0.6851
Per class
F measure
0.4683
Per class
Kappa
0.2049
KB relative information score
43.7777
Mean absolute error
0.3439
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
0.468
Per class
Predictive accuracy
0.4702
Prior entropy
1.5845
Recall
0.4702
Per class
Relative absolute error
0.7741
Root mean prior squared error
0.4713
Root mean squared error
0.5093
Root relative squared error
1.0806
SciMark benchmark
926.7923[552.6744499688575993.5318554177143474.05817848535886.52011659853681727.17692455962]