DEVELOPMENT... OpenML
Run
121675

Run 121675

Task 3874 (Supervised Classification) ecoli Uploaded 11-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(2)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(2)_I80
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9543
Per class
Build CPU time
8.3304
Build memory
137102371.6905
F measure
0.9494
Per class
Kappa
0.8966
KB relative information score
300.8293
Mean absolute error
0.0506
Mean prior absolute error
0.489
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
0.9495
Per class
Predictive accuracy
0.9494
Prior entropy
0.9842
Recall
0.9494
Per class
Relative absolute error
0.1035
Root mean prior squared error
0.4944
Root mean squared error
0.2249
Root relative squared error
0.4549
SciMark benchmark
899.4388