Rachmaninoff 1923

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   1  0.801  0.201  0.201  0.6013  0.434  0.51
Anderszewski 2003   8  0.7529  0.0124  0.0825  0.2432  0.2329  0.23
Ashkenazy 1981   16  0.723  0.115  0.176  0.465  0.486  0.47
Bacha 2000   51  0.6359  0.0067  0.0460  0.0463  0.0473  0.04
Badura 1965   53  0.6344  0.0064  0.0465  0.0456  0.0578  0.04
Barbosa 1983   77  0.4956  0.0081  0.0381  0.0368  0.0483  0.03
Biret 1990   27  0.7069  0.0047  0.0375  0.0337  0.1465  0.06
Blet 2003   73  0.5468  0.0080  0.0385  0.0375  0.0385  0.03
Block 1995   76  0.5377  0.0074  0.0378  0.0348  0.0679  0.04
Blumental 1952   41  0.6742  0.0037  0.0436  0.1344  0.0852  0.10
Boshniakovich 1969   65  0.5988  0.0063  0.0461  0.0470  0.0480  0.04
Brailowsky 1960   19  0.7119  0.0143  0.0443  0.089  0.4535  0.19
Bunin 1987   79  0.4889  0.0077  0.0463  0.0429  0.2949  0.11
Bunin 1987b   82  0.4678  0.0076  0.0287  0.0228  0.2859  0.07
Chiu 1999   45  0.6686  0.0042  0.0540  0.1134  0.1943  0.14
Cohen 1997   85  0.3782  0.0087  0.0376  0.0368  0.0388  0.03
Cortot 1951   37  0.6860  0.0045  0.0458  0.0425  0.3547  0.12
Csalog 1996   87  0.3657  0.0084  0.0379  0.0376  0.0384  0.03
Czerny 1949   4  0.784  0.084  0.182  0.5810  0.531  0.55
Czerny 1990   7  0.7634  0.009  0.0810  0.3814  0.3812  0.38
Duchoud 2007   71  0.5715  0.0140  0.0441  0.1014  0.3136  0.18
Ezaki 2006   2  0.805  0.063  0.144  0.508  0.542  0.52
Falvay 1989   74  0.5471  0.0082  0.0466  0.0440  0.2551  0.10
Farrell 1958   14  0.7317  0.0113  0.0713  0.3617  0.4410  0.40
Ferenczy 1958   81  0.4772  0.0086  0.0471  0.0476  0.0386  0.03
Fliere 1977   3  0.789  0.026  0.115  0.4929  0.2119  0.32
Fou 1978   30  0.6918  0.0132  0.0633  0.1529  0.2037  0.17
Francois 1956   55  0.6263  0.0068  0.0552  0.0535  0.1654  0.09
Friedman 1923   17  0.7248  0.0039  0.0534  0.1434  0.3431  0.22
Friedman 1923b   18  0.7136  0.0034  0.0631  0.1933  0.3524  0.26
Friedman 1930   23  0.7150  0.0041  0.0538  0.1334  0.3332  0.21
Garcia 2007   13  0.7341  0.0021  0.0724  0.3017  0.4214  0.35
Garcia 2007b   43  0.6645  0.0052  0.0648  0.0636  0.2050  0.11
Gierzod 1998   10  0.7466  0.008  0.088  0.4328  0.2715  0.34
Gornostaeva 1994   58  0.6261  0.0056  0.0459  0.0456  0.0581  0.04
Groot 1988   44  0.6631  0.0026  0.0627  0.2215  0.4121  0.30
Harasiewicz 1955   9  0.7424  0.0114  0.0716  0.3535  0.1430  0.22
Hatto 1993   46  0.6570  0.0059  0.0646  0.0654  0.0666  0.06
Hatto 1997   40  0.6764  0.0058  0.0550  0.0553  0.0572  0.05
Horowitz 1949   35  0.6930  0.0035  0.0442  0.0925  0.4333  0.20
Indjic 1988   39  0.6779  0.0057  0.0469  0.0449  0.0671  0.05
Kapell 1951   59  0.6287  0.0030  0.0526  0.2352  0.0548  0.11
Kissin 1993   15  0.7332  0.007  0.127  0.4419  0.409  0.42
Kushner 1989   34  0.6983  0.0051  0.0455  0.0435  0.1755  0.08
Luisada 1991   20  0.7174  0.0029  0.0530  0.2044  0.0944  0.13
Lushtak 2004   33  0.6984  0.0044  0.0444  0.0744  0.0957  0.08
Malcuzynski 1961   61  0.6026  0.0133  0.0635  0.138  0.4427  0.24
Magaloff 1978   12  0.7314  0.0225  0.0621  0.314  0.5011  0.39
Magin 1975   32  0.692  0.142  0.213  0.515  0.543  0.52
Michalowski 1933   72  0.5527  0.0173  0.0380  0.0354  0.0577  0.04
Milkina 1970   11  0.7321  0.0117  0.0720  0.3322  0.3417  0.33
Mohovich 1999   38  0.6846  0.0036  0.0437  0.1341  0.1839  0.15
Moravec 1969   62  0.6039  0.0053  0.0457  0.0412  0.4942  0.14
Morozova 2008   28  0.6949  0.0022  0.0822  0.3120  0.3518  0.33
Neighaus 1950   24  0.7022  0.0138  0.0439  0.1170  0.0462  0.07
Niedzielski 1931   25  0.7012  0.0211  0.0812  0.376  0.527  0.44
Ohlsson 1999   26  0.7040  0.0023  0.0823  0.3127  0.3020  0.30
Osinska 1989   6  0.7625  0.0118  0.0817  0.3428  0.3316  0.33
Pachmann 1927   64  0.5947  0.0078  0.0386  0.0335  0.1660  0.07
Paderewski 1930   66  0.5965  0.0079  0.0470  0.0462  0.0382  0.03
Perlemuter 1992   29  0.6923  0.0128  0.0532  0.1530  0.2334  0.19
Pierdomenico 2008   80  0.4835  0.0069  0.0468  0.0419  0.3746  0.12
Poblocka 1999   69  0.5775  0.0055  0.0456  0.0472  0.0474  0.04
Rabcewiczowa 1932   42  0.6720  0.0127  0.0528  0.2120  0.2925  0.25
Rachmaninoff 1923   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rangell 2001   86  0.3680  0.0083  0.0383  0.0354  0.0489  0.03
Richter 1976   75  0.5358  0.0071  0.0374  0.0340  0.2056  0.08
Rosen 1989   50  0.6385  0.0054  0.0553  0.0542  0.0864  0.06
Rosenthal 1930   48  0.646  0.0315  0.0715  0.355  0.625  0.47
Rosenthal 1931   67  0.5952  0.0049  0.0551  0.056  0.5738  0.17
Rosenthal 1931b   63  0.6037  0.0046  0.0382  0.035  0.5945  0.13
Rosenthal 1931c   70  0.577  0.0248  0.0472  0.047  0.5341  0.15
Rosenthal 1931d   68  0.5913  0.0250  0.0454  0.047  0.5740  0.15
Rossi 2007   56  0.6211  0.0272  0.0373  0.0334  0.1558  0.07
Rubinstein 1939   60  0.608  0.0265  0.0464  0.0452  0.0575  0.04
Rubinstein 1952   83  0.4253  0.0070  0.0462  0.0448  0.0867  0.06
Rubinstein 1966   52  0.6373  0.0066  0.0467  0.0444  0.1161  0.07
Schilhawsky 1960   21  0.7116  0.0116  0.079  0.4015  0.488  0.44
Shebanova 2002   36  0.6810  0.0210  0.0814  0.3638  0.1923  0.26
Smith 1975   54  0.6233  0.0060  0.0649  0.0649  0.0569  0.05
Sokolov 2002   49  0.6351  0.0031  0.0629  0.2017  0.3322  0.26
Sztompka 1959   5  0.7755  0.0012  0.0911  0.3822  0.3213  0.35
Tomsic 1995   84  0.3976  0.0085  0.0384  0.0365  0.0576  0.04
Uninsky 1932   57  0.6238  0.0061  0.0647  0.0652  0.0663  0.06
Uninsky 1971   78  0.4928  0.0175  0.0377  0.0345  0.0970  0.05
Wasowski 1980   47  0.6554  0.0062  0.0645  0.0665  0.0568  0.05
Zak 1937   22  0.7143  0.0020  0.0819  0.3435  0.1628  0.23
Zak 1951   31  0.6962  0.0019  0.0818  0.3432  0.1826  0.25
Random 1   89  -0.2267  0.0089  0.0289  0.0253  0.0487  0.03
Random 2   88  -0.0190  0.0088  0.0288  0.027  0.4453  0.09
Random 3   90  -0.2381  0.0090  0.0190  0.0173  0.0390  0.02

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).