DEVELOPMENT... OpenML
Run
108488

Run 108488

Task 1802 (Supervised Classification) ecoli Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_DecisionStump(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_DecisionStump(2)_I160
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.7818
Per class
Build CPU time
0.0115
Build memory
1323951380.8
F measure
0.5116
Per class
Kappa
0.4504
KB relative information score
633.6118
Mean absolute error
0.1288
Mean prior absolute error
0.1828
Number of instances
1680
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4233
Per class
Predictive accuracy
0.6464
Prior entropy
2.2353
Recall
0.6464
Per class
Relative absolute error
0.7049
Root mean prior squared error
0.3016
Root mean squared error
0.2546
Root relative squared error
0.8442
SciMark benchmark
916.1588