Ecevit Eyduran1, Daniel Zaborski2*, Abdul Waheed3, Senol Celik4, Koksal Karadas5 and Wilhelm Grzesiak2

...esults obtained with the data mining algorithms were compared with multiple linear regression (MR). A total of 205 BW records including one categorical (sex) and six continuous (head girth above eyes, neck length, diagonal body length, belly sprung, shank circumference and rump height) predictors were utilized. The Pearson correlation coefficient between the actual and predicted BW (r) and root-mean-square error (RMSE) were used as goodness-of-fit criteria, am...
Yusuf Koc1, Ecevit Eyduran1* and Omer Akbulut2
...xhaustive CHAID and CART data mining algorithms. Consequently, it is recommended that the biological suitability of the constructed tree structure should be taken account together with estimating model quality criteria.
...
Koksal Karadas1* and Ibrahim Hakki Kadırhanogullari2
... performances of several data mining algorithms (CART, CHAID, Exhaustive CHAID and MARS) and artificial neural network algorithm (Multilayer Perceptron, MLP) were evaluated comparatively. Several factors thought as independent variables in the survey were age of beekeeper (AB), education level (EL), number of full beehives (NFB), bee race (BR), the time spent in plateau (TSP), feed of autumn and spring (FAS), working period in apiculture during year (WPA), fre...
Ali Karabacak1, Senol Celik2, Adile Tatliyer3, Ismail Keskin1, Yakup Erdal Erturk4, Ecevit Eyduran5, Yasir Javed6 and Mohammad Masood Tariq7,*
...ive performance of three data mining algorithms viz., CHAID, Exhaustive CHAID, and CART implemented in the estimation of cold carcass weight (CCW) and body weight (BW) from several body measurements (withers height (WH), chest depth (CD), body length (BL), hearth girth (HG) and leg circumference (LC)) measured from five sheep breeds (Akkaraman (9), Dağlıç (10), Kivircik (10), Merinos (10) and Karacabey Merino (8)) reared in Konya provin...
İbrahim Aytekin1,*, Ecevit Eyduran2, Koksal Karadas3, Rifat Akşahan4 and İsmail Keskin1
...egression Splines (MARS) data mining algorithm as a non-parametric regression technique was implemented. To measure predictive accuracy of MARS, model evaluation criteria such as coefficient of determination (R2), adjusted coefficient of determination (R2ADJ), SDRATIO andPearson coefficient (r) between actual and predicted values in fattening final live weight were calculated. To reveal the highest predictive ability...
Yakut Gevrekçi* and Çiğdem Takma
...e analysis is one of the data mining approaches which generate model asses the response variable based on the predictor variables. The present study deals with evaluating relationship between egg production (EP) and some related traits by decision tree analysis with Classification and Regression Tree (CART) and Chi-squared Automatic Interaction Detection (CHAID) algorithms. A total of 1912 EP records of layers which hatched at four different periods were colle...
Adem Aksoy1, Yakup Erdal Ertürk2, Selim Erdoğan3, Ecevit Eyduran3 andMohammad Masood Tariq4,*
...ugh CART, CHAID and MARS data mining algorithms, which are more flexible compared to classical approaches. Several potential predictors in the survey were age of enterprise, province of enterprise (Agri, Kars and Erzurum), educational level, membership status of enterprise to an association of beekeepers (member and nonmember), other activities except for beekeeping (yes and no), number of full beehives, bee race (Caucasian, Carniolan, Italian and Crossbred), ...
Gokhan Sahin1, Ecevit Eyduran2,*, Mete Turkoglu3 and Fatma Sahin2
...egression splines (MARS) data mining algorithm for multiple responses (Hd and Hm) with the support of R software program and the utility prediction equation was aimed to improve for further biodiversity investigations. To determine the predictive quality of the MARS algorithm, goodness of fit criteria viz. coefficient of determination (0.994 and 0.996 R2 for Hd and Hm), Generalized Cross Validation (0.000038 and 0.024024 GCV for Hd and Hm), C...
Adem Aksoy1, Yakup Erdal Ertürk2, Ecevit Eyduran3 and Mohammad Masood Tariq4,*
...egression splines (MARS) data mining algorithms in addition to least squares method were scrutinized comparatively in the prediction of weight at the end of grazing period. The best statistical approach was selected based on goodness of fit criteria viz. determination coefficient (R2), adjusted coefficient of determination (R2ADJ), and Pearson correlation coefficient between the actual and the predicted values in the res...
Daniel Zaborski,1,* Muhammad Ali,2 Ecevit Eyduran,3 Wilhelm Grzesiak,1 Mohammad Masood Tariq,2 Ferhat Abbas,2 Abdul Waheed4 and Cem Tirink5
...ai sheep using different data mining algorithms (artificial neural networks - ANN, classification and regression trees - CART, chi-square automatic interaction detector - CHAID and multivariate adaptive regression splines - MARS) and indicating the most influential predictors of these traits. A total of 382 reproduction records including three predictors (month of lambing - MOL, age at first lambing - AFL and lambing weight - LW) and seven dependent (output) v...
Senol Celik
... regression trees (CART) data mining algorithms in predicting live body weight as a continuous response variable by means of morphological measurements i.e. live body weight (LBW), body length (BL), withers height (WH), rump height (RH), belly girth (BG) and chest girth (CG) as continuous predictors from 130 Pakistan goats. Also, sex factor was included as a possible nominal predictor in the current study. To measure predictive performances of the teste...

Pakistan Journal of Zoology

August

Vol. 51, Iss. 4, Pages 1203-1598

Featuring

Click here for more

Subscribe Today

Receive free updates on new articles, opportunities and benefits


Subscribe Unsubscribe