DEVELOPMENT... OpenML
Run
18158

Run 18158

Task 21 (Supervised Classification) car Uploaded 10-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_REPTree(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_REPTree(1)_I20
weka.AdaBoostM1_REPTree(1)_P100
weka.AdaBoostM1_REPTree(1)_S1
weka.AdaBoostM1_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.9977
Per class
F measure
0.9643
Per class
Kappa
0.9222
KB relative information score
1578.3436
Mean absolute error
0.0188
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
0.9647
Per class
Predictive accuracy
0.9641
Prior entropy
1.2099
Recall
0.9641
Per class
Relative absolute error
0.0822
Root mean prior squared error
0.3381
Root mean squared error
0.1187
Root relative squared error
0.3512
SciMark benchmark
946.9074[567.78666173126961015.5230404536866483.8854846559526909.59057174132591757.751385454742]