DEVELOPMENT... OpenML
Run
16284

Run 16284

Task 38 (Supervised Classification) ecoli Uploaded 04-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_LWL_DecisionStump(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LWL_DecisionStump(1)_Atrue
weka.LWL_DecisionStump(1)_K-1
weka.LWL_DecisionStump(1)_U0
weka.LWL_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump
weka.MultiBoostAB_LWL_DecisionStump(1)_C3
weka.MultiBoostAB_LWL_DecisionStump(1)_I160
weka.MultiBoostAB_LWL_DecisionStump(1)_P100
weka.MultiBoostAB_LWL_DecisionStump(1)_S1
weka.MultiBoostAB_LWL_DecisionStump(1)_Wweka.classifiers.lazy.LWL

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
0.9511
Per class
F measure
0.8009
Per class
Kappa
0.7454
KB relative information score
189.9585
Mean absolute error
0.097
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
0.8007
Per class
Predictive accuracy
0.8185
Prior entropy
2.2353
Recall
0.8185
Per class
Relative absolute error
0.5307
Root mean prior squared error
0.3016
Root mean squared error
0.1952
Root relative squared error
0.6471
SciMark benchmark
946.5027[562.29550002336991014.9881711071126480.4213690634573907.38665814554741767.4217034453668]