DEVELOPMENT... OpenML
Run
16528

Run 16528

Task 38 (Supervised Classification) ecoli Uploaded 04-06-2014 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
0.8572
Per class
F measure
0.7694
Per class
Kappa
0.6856
KB relative information score
216.0932
Mean absolute error
0.0573
Mean prior absolute error
0.1828
Number of instances
336
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7704
Per class
Predictive accuracy
0.7708
Prior entropy
2.2353
Recall
0.7708
Per class
Relative absolute error
0.3134
Root mean prior squared error
0.3016
Root mean squared error
0.2394
Root relative squared error
0.7936
SciMark benchmark
934.0584[562.2955000233699996.0997209380531482.7975877024999905.19339878208931723.9057332468865]