Cookbook Modeling Data for Marketing 9 doc
Cookbook Modeling Data for Marketing_1 doc
... 40 1. 09 1.06 1.04 1.01 1.14 1.10 1.07 40– 49 1.01 1.02 0 .96 0 .95 1.04 1.07 1.01 50– 59 0. 89 0.83 0.81 0.78 0 .97 0 .99 0 .95 60+ 0.75 0.65 0.72 0.70 0 .94 0. 89 0.84 Page 68 Figure 3.8 Output for regression substitution. One of the benefits ... and the 99 th percentile value (inc 99) for estimated income (inc_est). proc univariate data= acqmod.model noprint; weigh...
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Cookbook Modeling Data for Marketing_5 docx
... 34 725 2.04% 117,062 2.06% 99 35– 39 3,445 9. 67% 387,464 6.81% 142 40–44 10,440 29. 32% 1,341,725 23.58% 124 45– 49 11, 795 33.12% 2,084,676 36.63% 90 50–54 5,005 14.06% 90 0,7 79 15.83% 89 55–64 3,435 9. 65% 726,8 69 12.77% 76 65+ 765 2.15% 131,835 2.32% 93 Total 35,610 ... Obtain data from the various sources you've identified for the sample you've selected....
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Cookbook Modeling Data for Marketing_9 doc
... experience. Preparing Web Data Preparing Web data for analysis also presents unique challenges for the data miner or modeler. Devyani details some of the issues and methods for getting the Web data into a form that ... Size $2 ,98 0 $5,5 89 $9, 106 Total Revenue $107,280,000 $174,376,800 $255, 696 ,480 Direct Cost % 70.00% 65.00% 63.00% Costs $75, 096 ,000 $113,344 ,92...
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Cookbook Modeling Data for Marketing_3 pptx
... missover recl =99 ; input prosp_id 1 -9 /*unique prospect identifier*/ pop_den $ 13 /*population density code*/ | | | | | | | | | | no90eve 97 -99 /*number of payments over 90 days */ ; run; The ... intervals for the predicted probability of active, the actual active rate, and the lift. proc format; picture perc low-high = '0 09. 999 %' (mult=1000000); proc tabul...
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Cookbook Modeling Data for Marketing_4 potx
... probability: data acqmod.audit2; set acqmod.audit2; estimate = -7.6 597 6 - 0.000034026 * hom_cui - 0.182 09 * age_cos + 372. 299 * age_sqi - 0.2 093 8 * inc_sqrt + 0.327 29 * mortal1 ... out=&svar .data std=&svar.std pctlpts= 99 pctlpre=&svar; run; data acqmod.audit; set acqmod.audit; if (_n_ eq 1) then set &svar .data( keep= &svar.std &sv...
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Cookbook Modeling Data for Marketing_8 pptx
... 29. 00 $ 29. 00 $ 29. 00 $ 29. 00 Attrition probability 0% 38% 43% 39. 5% Charge-off provision 2.2% 2.8% 2.8% 2.8% Rebate 1% 1% 1% 1% Pretax profit $ 2 89. 29 $ 295 . 89 $ 272 .91 $ 288 .99 Taxes $ 1 09. 93 $ ... out=ch11.&svar .data pctlpts= 10 20 30 40 50 60 70 80 90 99 100 pctlpre=&svar; run; <<CODE IN THIS SECTION IS SIMILAR TO TRANSFORMATION CODE IN CHAPTER 10&...
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Cookbook Modeling Data for Marketing_10 pdf
... pages 822 0 .92 % 12 or more pages 777 0.87% Totals 89, 306 100% Page 332 Quantiles (Def=5) 100% Max 5544774 99 % 741006 75% Q3 18 298 7 95 % 399 898 50% Med 797 79 90% 298 176 25% Q1 10 690 .5 10% 1 096 ... 1% 0 Range 5544774 Q3 - Q1 172 296 .5 Mode 0 Extremes Lowest Obs Highest Obs 0( 85280) 398 3 490 ( 40154) 0( 85133) 4102 490 ( 238 69) 0( 8 496 1) 4163 294 ( 191...
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Cookbook Modeling Data for Marketing_11 pptx
... 196 7 13757 1 .9 672784 92 .3 196 8 11442 1.6 684226 93 .8 196 9 10731 1.5 694 957 95 .3 197 0 10476 1.4 705433 96 .7 197 1 8726 1.2 7141 59 97 .9 197 2 7703 1.1 721862 99 .0 197 3 7366 1.0 7 292 28 100.0 ... Percent 698 544 95 .8 698 544 95 .8 1 2138 0.3 700682 96 .1 2 1765 0.2 702447 96 .3 3 795 0.1 703242 96 .4 4 199 9 0.3 705241 96 .7 A 97 84 1.3...
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Cookbook Modeling Data for Marketing_12 pot
... 26–27 validation, 152–155 Data errors and outliers, 60 , 62 – 64, 69 Data marts, 31 Data mining software classification trees, 98 Data preparation for modeling. See Preparing data for modeling Data requirements ... 207 Preparing data for modeling, 51–70 accessing the data, 51–54 classifying data, 54 – 55 cleaning the data, 60–70 creating modeling data set...
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John wiley sons data mining techniques for marketing sales_12 doc
... clustering can be a directed activity because clusters are sought for some business purpose. In marketing, clusters formed for a business purpose are usually called “segments,” and customer ... responsibility that each Gaussian has for each data point (see Figure 11.8). Each Gaussian has strong responsibility for points that are close to its mean and weak responsibility for poi...
Ngày tải lên: 21/06/2014, 04:20