Create Training Set

Model Title

Train	application_name	system_name	processors	num_mpi	num_omppn	input	frequency	executable_name	scenario	frequency	papi_tot_cyc	papi_tot_ins	papi_l1_tcm	papi_l2_tcm	papi_fml_ins	papi_br_tkn	papi_l2_ldm	papi_l2_stm	papi_fdv_ins	papi_br_cn	papi_tot_iis	papi_ca_shr	papi_ca_cln	papi_ca_itv	papi_br_ntk	papi_br_msp	papi_fp_ins	papi_res_stl	papi_l1_ldm	papi_l1_stm	papi_l2_tcw	papi_l2_dca	papi_l2_dcr	papi_l2_dcw	papi_l1_icm	papi_br_ins	papi_l1_dch	papi_l1_dca	papi_l1_dcm	papi_l1_tca	papi_l1_ica	papi_fp_ops	papi_l2_ica	papi_tlb_dm	papi_vec_ins	papi_l2_dcm	papi_l2_icm	papi_l2_tch	papi_l2_tca	papi_ld_ins	papi_sr_ins	papi_tlb_im	papi_hw_int	papi_l3_tcm	nruntime	power_sys	power_cpu	power_mem	num_mpi	num_omppn	scaling_factor
	Heat Distribution Code	SNL Haswell Shepard	256	256	1	number of iterations=50000.0, Local data size (MB)=32.0	2.301	hdc-ins	empirical	2.301	1	0.8241721191455896	0.0147505243061463	0.013328195457899	0.0	0.0063962062063482	0.3158488396510392	0.0805484845436764	0.0	0.0049049913586797	0.0	0.0158652244574092	0.0068033158835352	0.0203223966011807	0.0606631982296077	0.0359197419761286	0.0	0.0272771794618482	0.0287847769115894	0.7407500192526281	0.0146774955212994	0.0081334528796545	0.0215134242330143	0.0146619972784478	0.0070931690126158	0.02076124752162	0.0	0.0	2.09505455899e-05	0.0	0.0	0.0	0.1077664610184663	0.0242007632778438	0.0	3.3414736204e-06	3.934326075e-07	0.0	7.9807860329e-06	0.0133247738930687	1.89955493035e-05	1.95661794904e-05	0.0	0.0020549099024558	4.4099074967e-10	327.636111	250.325676	61.073567	256	1	3323660537316.957277028