DEVELOPMENT... OpenML
Run
23587

Run 23587

Task 20 (Supervised Classification) mfeat-pixel Uploaded 26-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_IBk(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.IBk(1)_Atrue
weka.IBk(1)_K1
weka.IBk(1)_W0
weka.MultiBoostAB_IBk(1)_C3
weka.MultiBoostAB_IBk(1)_I10
weka.MultiBoostAB_IBk(1)_P100
weka.MultiBoostAB_IBk(1)_S1
weka.MultiBoostAB_IBk(1)_Wweka.classifiers.lazy.IBk

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
0.9819
Per class
F measure
0.9623
Per class
Kappa
0.9583
KB relative information score
1921.3932
Mean absolute error
0.0082
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9632
Per class
Predictive accuracy
0.9625
Prior entropy
3.3219
Recall
0.9625
Per class
Relative absolute error
0.0457
Root mean prior squared error
0.3
Root mean squared error
0.0841
Root relative squared error
0.2802
SciMark benchmark
944.7286[563.93163340417231013.919993711725481.71457151086304905.19339878208931758.8835103978397]