This programs is part of the WEKA classifier library. The code used to generate this program is from the java class 'weka/classifiers/functions/' from WEKA's libraries. The following description was taken from this classes JavaDoc information:

Class for building and using a multinomial logistic regression model with a ridge estimator. There are some modifications, however, compared to the paper of leCessie and van Houwelingen(1992): If there are k classes for n instances with m attributes, the parameter matrix B to be calculated will be an m*(k-1) matrix. The probability for class j with the exception of the last class is Pj(Xi) = exp(XiBj)/((sum[j=1..(k-1)]exp(Xi*Bj))+1) The last class has probability 1-(sum[j=1..(k-1)]Pj(Xi)) = 1/((sum[j=1..(k-1)]exp(Xi*Bj))+1) The (negative) multinomial log-likelihood is thus: L = -sum[i=1..n]{ sum[j=1..(k-1)](Yij * ln(Pj(Xi))) +(1 - (sum[j=1..(k-1)]Yij)) * ln(1 - sum[j=1..(k-1)]Pj(Xi)) } + ridge * (B^2) In order to find the matrix B for which L is minimised, a Quasi-Newton Method is used to search for the optimized values of the m*(k-1) variables. Note that before we use the optimization procedure, we 'squeeze' the matrix B into a m*(k-1) vector. For details of the optimization procedure, please check weka.core.Optimization class. Although original Logistic Regression does not deal with instance weights, we modify the algorithm a little bit to handle the instance weights. For more information see: le Cessie, S., van Houwelingen, J.C. (1992). Ridge Estimators in Logistic Regression. Applied Statistics. 41(1):191-201. Note: Missing values are replaced using a ReplaceMissingValuesFilter, and nominal attributes are transformed into numeric attributes using a NominalToBinaryFilter.

NOTE: This algorithm has no parameter tuning, it is using the default WEKA parameters

NOTE: WEKA's Classifiers read a data in the .arff format. For Multiclass datasets, the SVMlight format converted to .arff multiclass format so they can be read by WEKA programs
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Existing runs on Logistic_weka_nominal 1-25 of 297 < > Action_refresh_blue
ID Program Dataset Tuned hyper. User Updated << Status Total time Memory Error
Run #39778 Logistic_weka_nominal GoodStudents no chuertas 166d17h ago failed 1h9m 419M
Run #39460 Logistic_weka_nominal Los tres mosqueteros no chuertas 216d23h ago done 39s 421M 0.046
Run #39402 Logistic_weka_nominal economicalData no pdoviet 217d14h ago done 7m46s 431M 0.124
Run #39076 Logistic_weka_nominal Ot Products no chuertas 254d1h ago failed 5h0m 421M
Run #38032 Logistic_weka_nominal Axon Cars d50 t200 no chuertas 324d15h ago failed 3h0m 421M
Run #35542 Logistic_weka_nominal ro-lts no chuertas 1y202d ago failed 55m6s 428M
Run #30140 Logistic_weka_nominal copt_1_mark no emrah 2y38d ago done 1h7m 421M 0.633
Run #30106 Logistic_weka_nominal twitter-sentiment no favre 2y42d ago failed 5m51s 418M
Run #29186 Logistic_weka_nominal fml_project2 no gtledward 2y195d ago done 33s 421M 0.412
Run #28991 Logistic_weka_nominal 198pgpopPts no linflyer 2y216d ago failed 45s 426M
Run #28709 Logistic_weka_nominal Sca Motion no andresvila 2y225d ago done 13s 422M 0.015
Run #27854 Logistic_weka_nominal 20news no sidaw 3y81d ago failed 31m54s 418M
Run #27432 Logistic_weka_nominal petals_3 no evolk 3y109d ago done 6m20s 421M 0.490
Run #27068 Logistic_weka_nominal cemst-decision-prediction-asr0 no favre 3y119d ago failed 1m47s 420M
Run #27000 Logistic_weka_nominal zhangjun no blazebird 3y125d ago done 4m10s 427M 0.016
Run #25047 Logistic_weka_nominal qqq-1 no internal 3y145d ago failed
Run #21398 Logistic_weka_nominal ralign-random no internal 3y145d ago done 0.090
Run #19998 Logistic_weka_nominal is_bad no internal 3y145d ago done 0.005
Run #19999 Logistic_weka_nominal big_is_bad no internal 3y145d ago done 0.023
Run #19984 Logistic_weka_nominal bioresponse no internal 3y145d ago done 0.343
Run #19985 Logistic_weka_nominal s2 no internal 3y145d ago done 0.026
Run #19986 Logistic_weka_nominal s21 no internal 3y145d ago done 0.020
Run #19987 Logistic_weka_nominal s22 no internal 3y145d ago done 0.022
Run #19988 Logistic_weka_nominal train-47-plase-bir-test-48 no internal 3y145d ago done 0.342
Run #19990 Logistic_weka_nominal train-47-plse-nonfirst-48-test no internal 3y145d ago done 0.358

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