Rachmaninoff 1923

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   39  0.3924  0.0036  0.0737  0.2316  0.4328  0.31
Anderszewski 2003   20  0.4652  0.0028  0.1428  0.3658  0.0637  0.15
Ashkenazy 1981   48  0.377  0.0331  0.0838  0.2212  0.4529  0.31
Bacha 2000   52  0.3631  0.0043  0.0643  0.1136  0.2534  0.17
Badura 1965   57  0.3311  0.0172  0.0563  0.0572  0.0375  0.04
Barbosa 1983   9  0.5045  0.0016  0.1110  0.5439  0.2027  0.33
Biret 1990   3  0.566  0.044  0.213  0.738  0.584  0.65
Blet 2003   65  0.3276  0.0060  0.0375  0.0374  0.0384  0.03
Block 1995   12  0.4972  0.0020  0.0911  0.5211  0.558  0.53
Blumental 1952   5  0.5617  0.016  0.275  0.679  0.683  0.67
Boshniakovich 1969   69  0.3082  0.0061  0.0377  0.0386  0.0387  0.03
Brailowsky 1960   1  0.621  0.311  0.312  0.746  0.712  0.72
Bunin 1987   67  0.3133  0.0074  0.0562  0.0543  0.1151  0.07
Bunin 1987b   75  0.2764  0.0076  0.0556  0.0567  0.0471  0.04
Chiu 1999   72  0.2977  0.0066  0.0465  0.0466  0.0569  0.04
Cohen 1997   74  0.2878  0.0062  0.0378  0.0342  0.0966  0.05
Cortot 1951   44  0.399  0.0240  0.0641  0.1318  0.4632  0.24
Csalog 1996   49  0.3783  0.0059  0.0471  0.0449  0.0663  0.05
Czerny 1949   60  0.3340  0.0048  0.0650  0.0667  0.0465  0.05
Czerny 1990   43  0.3986  0.0029  0.0930  0.3151  0.0640  0.14
Duchoud 2007   85  0.1273  0.0085  0.0285  0.0266  0.0485  0.03
Ezaki 2006   10  0.5013  0.0121  0.0927  0.3959  0.0538  0.14
Falvay 1989   30  0.4146  0.0041  0.0640  0.1767  0.0446  0.08
Farrell 1958   62  0.3287  0.0058  0.0374  0.0346  0.1353  0.06
Ferenczy 1958   33  0.4025  0.0053  0.0647  0.0643  0.1345  0.09
Fliere 1977   6  0.5412  0.017  0.228  0.5626  0.4012  0.47
Fou 1978   22  0.4551  0.0025  0.0816  0.4933  0.2523  0.35
Francois 1956   68  0.3029  0.0063  0.0376  0.0344  0.1358  0.06
Friedman 1923   53  0.3532  0.0039  0.0734  0.2522  0.4525  0.34
Friedman 1923b   59  0.3336  0.0038  0.0635  0.2424  0.4030  0.31
Friedman 1930   63  0.3248  0.0042  0.0642  0.1237  0.2236  0.16
Garcia 2007   82  0.1788  0.0084  0.0381  0.0378  0.0386  0.03
Garcia 2007b   73  0.2989  0.0077  0.0649  0.0670  0.0468  0.05
Gierzod 1998   28  0.4254  0.0027  0.1324  0.4349  0.0735  0.17
Gornostaeva 1994   54  0.3541  0.0065  0.0466  0.0452  0.0578  0.04
Groot 1988   7  0.543  0.125  0.256  0.6210  0.537  0.57
Harasiewicz 1955   25  0.4456  0.0034  0.0739  0.2152  0.0642  0.11
Hatto 1993   15  0.4818  0.0112  0.1012  0.5228  0.3616  0.43
Hatto 1997   19  0.4757  0.0018  0.1021  0.4535  0.3122  0.37
Horowitz 1949   51  0.3658  0.0032  0.0631  0.288  0.5521  0.39
Indjic 1988   18  0.4750  0.0017  0.0718  0.4728  0.3420  0.40
Kapell 1951   45  0.3884  0.0052  0.0746  0.0758  0.0654  0.06
Kissin 1993   77  0.2542  0.0080  0.0284  0.0282  0.0391  0.02
Kushner 1989   66  0.3179  0.0075  0.0553  0.0566  0.0470  0.04
Luisada 1991   27  0.4222  0.0035  0.0736  0.2340  0.1933  0.21
Lushtak 2004   41  0.3926  0.0054  0.0557  0.0571  0.0476  0.04
Malcuzynski 1961   24  0.4410  0.0114  0.0826  0.3941  0.1931  0.27
Magaloff 1978   8  0.5121  0.0015  0.089  0.5524  0.4113  0.47
Magin 1975   50  0.3780  0.0057  0.0472  0.0483  0.0381  0.03
Michalowski 1933   79  0.2165  0.0068  0.0470  0.0439  0.1347  0.07
Milkina 1970   42  0.3934  0.0045  0.0544  0.1079  0.0455  0.06
Mohovich 1999   11  0.508  0.0219  0.0817  0.4935  0.2424  0.34
Moravec 1969   46  0.3871  0.0051  0.0551  0.0551  0.0852  0.06
Morozova 2008   71  0.2974  0.0071  0.0561  0.0569  0.0564  0.05
Neighaus 1950   76  0.2547  0.0067  0.0473  0.0451  0.0667  0.05
Niedzielski 1931   38  0.3953  0.0033  0.0829  0.324  0.4919  0.40
Ohlsson 1999   78  0.2362  0.0078  0.0560  0.0578  0.0374  0.04
Osinska 1989   55  0.3481  0.0070  0.0464  0.0482  0.0379  0.03
Pachmann 1927   87  0.1085  0.0089  0.0288  0.0279  0.0390  0.02
Paderewski 1930   88  0.0861  0.0079  0.0379  0.0362  0.0483  0.03
Perlemuter 1992   86  0.1266  0.0087  0.0286  0.0289  0.0289  0.02
Pierdomenico 2008   83  0.1769  0.0081  0.0382  0.0345  0.0961  0.05
Poblocka 1999   16  0.4716  0.0110  0.1120  0.4539  0.2426  0.33
Rabcewiczowa 1932   31  0.415  0.088  0.1814  0.5118  0.4114  0.46
Rachmaninoff 1923   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rangell 2001   81  0.1975  0.0086  0.0287  0.0273  0.0488  0.03
Richter 1976   37  0.3939  0.0049  0.0552  0.0561  0.0472  0.04
Rosen 1989   64  0.3267  0.0064  0.0469  0.0454  0.0477  0.04
Rosenthal 1930   4  0.564  0.102  0.224  0.736  0.771  0.75
Rosenthal 1931   29  0.4119  0.0026  0.1025  0.437  0.619  0.51
Rosenthal 1931b   34  0.4015  0.0113  0.0923  0.447  0.6011  0.51
Rosenthal 1931c   17  0.4720  0.0011  0.097  0.5613  0.615  0.58
Rosenthal 1931d   23  0.4559  0.0024  0.0915  0.507  0.666  0.57
Rossi 2007   84  0.1655  0.0082  0.0380  0.0370  0.0480  0.03
Rubinstein 1939   47  0.3828  0.0047  0.0554  0.0541  0.1544  0.09
Rubinstein 1952   40  0.3914  0.0130  0.0833  0.2650  0.0741  0.13
Rubinstein 1966   36  0.3990  0.0044  0.0545  0.1060  0.0548  0.07
Schilhawsky 1960   13  0.4823  0.0022  0.0813  0.5216  0.5010  0.51
Shebanova 2002   61  0.3270  0.0056  0.0467  0.0445  0.1249  0.07
Smith 1975   14  0.4849  0.009  0.1019  0.4723  0.4215  0.44
Sokolov 2002   56  0.3363  0.0069  0.0468  0.0452  0.0660  0.05
Sztompka 1959   70  0.3043  0.0055  0.0555  0.0579  0.0473  0.04
Tomsic 1995   80  0.2068  0.0083  0.0383  0.0379  0.0382  0.03
Uninsky 1932   35  0.4027  0.0050  0.0559  0.0530  0.3739  0.14
Uninsky 1971   21  0.4638  0.0023  0.0722  0.4426  0.4017  0.42
Wasowski 1980   58  0.3360  0.0073  0.0558  0.0570  0.0559  0.05
Zak 1937   32  0.4135  0.0046  0.0648  0.0659  0.0462  0.05
Zak 1951   26  0.4337  0.0037  0.0732  0.2762  0.0443  0.10
Average   2  0.592  0.153  0.241  0.7738  0.2218  0.41
Random 1   91  0.0091  0.0090  0.0190  0.0118  0.3857  0.06
Random 2   89  0.0630  0.0091  0.0191  0.0118  0.3556  0.06
Random 3   90  0.0544  0.0088  0.0189  0.014  0.5450  0.07

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).