5580dfa80c65432171c9dfff3e5c4427 *DESCRIPTION
2e84e752e4e44c499e0f75dd0226949d *INDEX
9bea49153f495e558a2bdda1e01c7e97 *Meta/Rd.rds
f7bbb64c81ab225be89c08a28920a456 *Meta/data.rds
37d8b81a466ed6231df3028dcc22e6be *Meta/features.rds
bf4541f413704bff79f56330edd5f62f *Meta/hsearch.rds
95f2a9904411dbceae1aa77006d66f20 *Meta/links.rds
6f32e0f34661ae94a0ae363407a08307 *Meta/nsInfo.rds
4fc7072e1f8e7343d8e2398227f1410c *Meta/package.rds
de6a9e245c8bc1e4204178c0051bdd58 *NAMESPACE
cd57733dbe49a1261a42aa098fc983eb *NEWS.Rd
d6c68f1fe41ced6e98a766a3757313da *R/AppliedPredictiveModeling
94be3231b3a58471585944d8f1ab1134 *R/AppliedPredictiveModeling.rdb
8d1c079f4721fbe6f5b6b5a4ca4c0c8e *R/AppliedPredictiveModeling.rdx
c67f2fcbd8186c3dde678b7c80292563 *README.md
55afb317aa767a6e82c6c52ee985563f *chapters/02_A_Short_Tour.R
5a487c219abde639b85d7275c6a4bf31 *chapters/02_A_Short_Tour.Rout
ec4768cf8bf24124e998a1ce680dceb6 *chapters/03_Data_Pre_Processing.R
7676eb3d1f98e148e846a4dc2a1a2966 *chapters/03_Data_Pre_Processing.Rout
ebd06017c5910d16195af333a30aa3c1 *chapters/04_Over_Fitting.R
1f7b3293506bf590766d34324a3364a2 *chapters/04_Over_Fitting.Rout
161fc8e0549cc8cfbe631c867a87b352 *chapters/06_Linear_Regression.R
421935c8783eae8dd82a43f7d7e48c91 *chapters/06_Linear_Regression.Rout
35b94de4347d8077de03148192f55bc5 *chapters/07_Non-Linear_Reg.R
30704984b3e08972410cb3d950df44ae *chapters/07_Non-Linear_Reg.Rout
2f4a5558ef2f471fff8a9cd0aa6aebbb *chapters/08_Regression_Trees.R
9a3ae5858f7dc208d50eceb7d4e7e982 *chapters/08_Regression_Trees.Rout
e1784aacc84cac62daa177d25c2d392c *chapters/10_Case_Study_Concrete.R
ea537049d1f8c99b19b9b17725fdf2fc *chapters/10_Case_Study_Concrete.Rout
c3693cc6dc941a60844d864cf264db28 *chapters/11_Class_Performance.R
8a4f757b7c72ab2081f7446685a8b529 *chapters/11_Class_Performance.Rout
b1cea3d1f3c939941753c9dd6ec3332c *chapters/12_Discriminant_Analysis.R
e929e79c48473605d1d2a86353e39520 *chapters/12_Discriminant_Analysis.Rout
31024776ecc67808d7cb140b89971636 *chapters/13_Non-Linear_Class.R
1e884bec1b83a834adc6e571058b778f *chapters/13_Non-Linear_Class.Rout
96c0f58e54278b35a05b73370ef2aa2e *chapters/14_Class_Trees.R
367863eba7ddbd2e7fc740b8a3ef41ea *chapters/14_Class_Trees.Rout
24635d76b796d99d385ea39963c05709 *chapters/16_Class_Imbalance.R
5748314017abcfde3e772bb0bffaa540 *chapters/16_Class_Imbalance.Rout
eb873435aec408cbb728e95120df75c4 *chapters/17_Job_Scheduling.R
53b627e8a907d84ac8657eee31adad9d *chapters/17_Job_Scheduling.Rout
cdd39d98758aa17566201c45150265b8 *chapters/18_Importance.R
4288e31b3484d3719f98cf377e756e7f *chapters/18_Importance.Rout
001bc824c0505d4c462039b112364d9d *chapters/19_Feature_Select.R
487d84200b36ed46159a608ec81fedc0 *chapters/19_Feature_Select.Rout
3afe6f6859238c711c0ce0ba33678051 *chapters/CreateGrantData.R
8a85f9749667d240d73b57de77df5b31 *chapters/CreateGrantData.Rout
8a34126ad3a2f9d077653b26d950dddb *data/AlzheimerDisease.RData
fe3de40e923db3e0133b269f1610afa2 *data/ChemicalManufacturingProcess.RData
ef3addd28ad9449688f0c33ba9bfc2d0 *data/FuelEconomy.RData
833d3d4a90e6afe16ec007d5fc628cd2 *data/abalone.RData
8fe13332a2419a2c253fb51c396f6000 *data/concrete.RData
8fc335fdac839cc09b91ff3b5595f00b *data/datalist
812edff8771d7faaada62fdb2c662e40 *data/hepatic.RData
7d5b8064233260c344793aaecc045136 *data/logisticCreditPredictions.RData
ce7019b604378875d2a55e32dde9c05a *data/permeability.RData
e1590269851cf810fdffa832b6cf6d65 *data/schedulingData.RData
669172e9b524f9194a23fbc84a2816f8 *data/segmentationOriginal.RData
06780bd86a4db76cb2a8eb12ef107df7 *data/solubility.RData
5e5422a8c05125f3ab1822f6c525296a *data/twoClassData.RData
62f5d781e1b1c09dd2e72322c424b2e0 *help/AnIndex
350002f322123415e3e3ac49df09832e *help/AppliedPredictiveModeling.rdb
af18e361677d031c1d34c3be7096ebd6 *help/AppliedPredictiveModeling.rdx
ee17520083afbda900f81b29ead22a15 *help/aliases.rds
8356ccae6a548cddc2859bff05b3deab *help/paths.rds
eeec8128aafaf6ae322f6f7bd346d8d3 *html/00Index.html
ee41876c0116916bb04bcf4fe3e43d78 *html/R.css
