3160bb5f8dfdb62898167288e0762f59 *DESCRIPTION
cd8505bf0c3ad33d0cb14541e111408e *INDEX
922d9da45e7cb59877567f3a564a7350 *Meta/Rd.rds
f7bbb64c81ab225be89c08a28920a456 *Meta/data.rds
37d8b81a466ed6231df3028dcc22e6be *Meta/features.rds
506555996c5e75811e79df23c57d606b *Meta/hsearch.rds
35c2593faed15f590f450b6cb03c3f10 *Meta/links.rds
e82e6394940aeb657b39631079725020 *Meta/nsInfo.rds
9af471f432cc248ab80c43e3694ff7bd *Meta/package.rds
f78a4ad513d2c6c72c50fb7c8c3c4fa6 *NAMESPACE
7973bb1a98c7ee6c2e08604fbd923d59 *NEWS.Rd
d6c68f1fe41ced6e98a766a3757313da *R/AppliedPredictiveModeling
789a978705283defba64dfa0d89b66b0 *R/AppliedPredictiveModeling.rdb
1eabb27ba7f05ee042efa72bb55ccf8b *R/AppliedPredictiveModeling.rdx
cb9165768774234eeda3f6e724fa4bae *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
ea46874fb704eacf0251f85a14840e1e *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
e9e1cedc8663992b155812a15abab389 *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
e938431795bb6ef4719d9f0c174780f6 *help/AnIndex
6ec4758152977a6a4653615efad6eb5a *help/AppliedPredictiveModeling.rdb
e76dbcb656c3de355245faa487d38886 *help/AppliedPredictiveModeling.rdx
d03ba55563aeb7af58a580b66542a375 *help/aliases.rds
d5ef5c1bc027086d7a91e17d030ba545 *help/paths.rds
be068edae94f52c5fde23973e935a163 *html/00Index.html
ee41876c0116916bb04bcf4fe3e43d78 *html/R.css
