DEVELOPMENT... OpenML
Run
21492

Run 21492

Task 22 (Supervised Classification) mfeat-zernike Uploaded 19-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(1)_I10
weka.AdaBoostM1_RandomTree(1)_P100
weka.AdaBoostM1_RandomTree(1)_S1
weka.AdaBoostM1_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.7994
Per class
F measure
0.6419
Per class
Kappa
0.5989
KB relative information score
1244.9631
Mean absolute error
0.0722
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
0.645
Per class
Predictive accuracy
0.639
Prior entropy
3.3219
Recall
0.639
Per class
Relative absolute error
0.4011
Root mean prior squared error
0.3
Root mean squared error
0.2687
Root relative squared error
0.8957
SciMark benchmark
942.6836[553.55145265954061014.4538012229739473.84898880647887909.2750179897271762.2889234168845]