DEVELOPMENT... OpenML
Run
22214

Run 22214

Task 38 (Supervised Classification) ecoli Uploaded 21-06-2014 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)_I80
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
0.918
Per class
F measure
0.8518
Per class
Kappa
0.805
KB relative information score
256.8686
Mean absolute error
0.035
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
0.8488
Per class
Predictive accuracy
0.8601
Prior entropy
2.2353
Recall
0.8601
Per class
Relative absolute error
0.1912
Root mean prior squared error
0.3016
Root mean squared error
0.1868
Root relative squared error
0.6194
SciMark benchmark
903.002[546.78393074489671015.5230404536866472.80575397915436902.38899339674911577.5081241253995]