DEVELOPMENT... OpenML
Run
22610

Run 22610

Task 53 (Supervised Classification) vehicle Uploaded 22-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(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_LMT(1)_I80
weka.AdaBoostM1_LMT(1)_P100
weka.AdaBoostM1_LMT(1)_S1
weka.AdaBoostM1_LMT(1)_Wweka.classifiers.trees.LMT
weka.LMT(1)_I-1
weka.LMT(1)_M15
weka.LMT(1)_W0.0

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
0.9116
Per class
F measure
0.8483
Per class
Kappa
0.7982
KB relative information score
691.916
Mean absolute error
0.0758
Mean prior absolute error
0.3748
Number of instances
846
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8479
Per class
Predictive accuracy
0.8487
Prior entropy
1.9991
Recall
0.8487
Per class
Relative absolute error
0.2023
Root mean prior squared error
0.4329
Root mean squared error
0.2741
Root relative squared error
0.6332
SciMark benchmark
927.9287[568.5269658043831014.4538012229739481.0671011934597896.21874497772311679.3767455038876]