DEVELOPMENT... OpenML
Run
23532

Run 23532

Task 47 (Supervised Classification) tae Uploaded 26-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(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_RandomForest(1)_I10
weka.AdaBoostM1_RandomForest(1)_P100
weka.AdaBoostM1_RandomForest(1)_S1
weka.AdaBoostM1_RandomForest(1)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(1)_I10
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1

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
0.8074
Per class
F measure
0.6689
Per class
Kappa
0.5032
KB relative information score
81.5747
Mean absolute error
0.2246
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
0.6689
Per class
Predictive accuracy
0.6689
Prior entropy
1.5845
Recall
0.6689
Per class
Relative absolute error
0.5055
Root mean prior squared error
0.4713
Root mean squared error
0.4508
Root relative squared error
0.9564
SciMark benchmark
942.7409[556.73174740070571012.5880246437401481.0671011934597906.13200343296361757.1857345400422]