DEVELOPMENT... OpenML
Run
17505

Run 17505

Task 32 (Supervised Classification) pendigits Uploaded 08-06-2014 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)_I10
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
0.9694
Per class
F measure
0.7608
Per class
Kappa
0.7474
KB relative information score
8226.1172
Mean absolute error
0.0619
Mean prior absolute error
0.18
Number of instances
10992
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7943
Per class
Predictive accuracy
0.7727
Prior entropy
3.3208
Recall
0.7727
Per class
Relative absolute error
0.3441
Root mean prior squared error
0.3
Root mean squared error
0.1786
Root relative squared error
0.5955
SciMark benchmark
948.294[570.01329170471311015.52310425331484.5405689113658913.07556704216551758.3172656914378]

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