Rachmaninoff 1923

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   14  0.6234  0.0024  0.0924  0.2632  0.1925  0.22
Anderszewski 2003   48  0.4880  0.0050  0.0454  0.0437  0.1549  0.08
Ashkenazy 1981   60  0.4425  0.0138  0.0537  0.1461  0.0453  0.07
Bacha 2000   84  0.2172  0.0083  0.0377  0.0372  0.0371  0.03
Badura 1965   38  0.5120  0.0145  0.0450  0.0432  0.2246  0.09
Barbosa 1983   41  0.4959  0.0067  0.0367  0.0357  0.0478  0.03
Biret 1990   36  0.5243  0.0049  0.0461  0.0459  0.0470  0.04
Blet 2003   23  0.5741  0.0033  0.0536  0.1443  0.0940  0.11
Block 1995   62  0.4367  0.0070  0.0455  0.0459  0.0467  0.04
Blumental 1952   80  0.2857  0.0072  0.0449  0.0459  0.0469  0.04
Boshniakovich 1969   56  0.4542  0.0035  0.0544  0.0838  0.1442  0.11
Brailowsky 1960   52  0.4740  0.0075  0.0545  0.0558  0.0463  0.04
Bunin 1987   3  0.684  0.094  0.1111  0.3814  0.439  0.40
Bunin 1987b   4  0.687  0.045  0.1612  0.3814  0.437  0.40
Chiu 1999   58  0.4510  0.0234  0.0434  0.1531  0.2133  0.18
Cohen 1997   87  -0.1061  0.0090  0.0190  0.0186  0.0290  0.01
Cortot 1951   51  0.4766  0.0065  0.0459  0.0435  0.2047  0.09
Csalog 1996   86  0.1376  0.0086  0.0285  0.0282  0.0384  0.02
Czerny 1949   9  0.6481  0.0016  0.088  0.4021  0.3711  0.38
Czerny 1990   2  0.681  0.181  0.171  0.619  0.422  0.51
Duchoud 2007   10  0.6412  0.0215  0.0716  0.3429  0.2917  0.31
Ezaki 2006   7  0.6432  0.008  0.1015  0.3534  0.1722  0.24
Falvay 1989   40  0.5051  0.0041  0.0441  0.1063  0.0455  0.06
Farrell 1958   42  0.4928  0.0153  0.0375  0.0324  0.2348  0.08
Ferenczy 1958   73  0.3545  0.0076  0.0382  0.0351  0.0480  0.03
Fliere 1977   12  0.6336  0.0013  0.0717  0.3340  0.1326  0.21
Fou 1978   57  0.4530  0.0168  0.0458  0.0457  0.0565  0.04
Francois 1956   6  0.6529  0.0123  0.0720  0.2920  0.2919  0.29
Friedman 1923   72  0.3511  0.0232  0.0733  0.166  0.5120  0.29
Friedman 1923b   70  0.3738  0.0031  0.0632  0.176  0.5018  0.29
Friedman 1930   50  0.4813  0.029  0.0921  0.287  0.4612  0.36
Garcia 2007   69  0.3774  0.0058  0.0457  0.0423  0.2941  0.11
Garcia 2007b   85  0.1885  0.0077  0.0373  0.0360  0.0483  0.03
Gierzod 1998   64  0.4273  0.0064  0.0370  0.0359  0.0481  0.03
Gornostaeva 1994   25  0.5731  0.0130  0.0629  0.2037  0.1734  0.18
Groot 1988   19  0.6021  0.0126  0.0626  0.2432  0.1928  0.21
Harasiewicz 1955   21  0.588  0.0311  0.079  0.3924  0.2815  0.33
Hatto 1993   78  0.3188  0.0057  0.0380  0.0337  0.1457  0.06
Hatto 1997   67  0.3977  0.0047  0.0451  0.0427  0.2045  0.09
Horowitz 1949   13  0.633  0.103  0.132  0.571  0.611  0.59
Indjic 1988   75  0.3456  0.0055  0.0379  0.0335  0.1456  0.06
Kapell 1951   31  0.5348  0.0059  0.0465  0.0454  0.0466  0.04
Kissin 1993   61  0.4358  0.0071  0.0546  0.0555  0.0561  0.05
Kushner 1989   22  0.5870  0.0027  0.0625  0.2439  0.1729  0.20
Luisada 1991   39  0.5068  0.0056  0.0371  0.0348  0.0562  0.04
Lushtak 2004   32  0.5386  0.0021  0.0722  0.2845  0.0738  0.14
Malcuzynski 1961   8  0.6427  0.0110  0.087  0.4025  0.2814  0.33
Magaloff 1978   29  0.5417  0.0129  0.0627  0.2235  0.1731  0.19
Magin 1975   34  0.5237  0.0028  0.0528  0.2015  0.2724  0.23
Michalowski 1933   77  0.3154  0.0051  0.0463  0.0448  0.0760  0.05
Milkina 1970   65  0.4269  0.0073  0.0376  0.0366  0.0475  0.03
Mohovich 1999   26  0.5750  0.0025  0.0623  0.2732  0.1530  0.20
Moravec 1969   35  0.526  0.0414  0.0730  0.1924  0.3023  0.24
Morozova 2008   1  0.702  0.142  0.193  0.531  0.473  0.50
Neighaus 1950   16  0.615  0.076  0.125  0.4421  0.3510  0.39
Niedzielski 1931   45  0.4939  0.0042  0.0438  0.117  0.4127  0.21
Ohlsson 1999   33  0.5316  0.0146  0.0453  0.0448  0.0659  0.05
Osinska 1989   59  0.4455  0.0074  0.0452  0.0477  0.0372  0.03
Pachmann 1927   79  0.2944  0.0078  0.0378  0.0365  0.0477  0.03
Paderewski 1930   76  0.3352  0.0081  0.0383  0.0361  0.0376  0.03
Perlemuter 1992   11  0.6315  0.0212  0.106  0.428  0.436  0.42
Pierdomenico 2008   55  0.4646  0.0062  0.0448  0.0437  0.1451  0.07
Poblocka 1999   66  0.4089  0.0063  0.0381  0.0357  0.0473  0.03
Rabcewiczowa 1932   47  0.4953  0.0066  0.0464  0.0450  0.0564  0.04
Rachmaninoff 1923   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rangell 2001   71  0.3671  0.0079  0.0456  0.0472  0.0382  0.03
Richter 1976   46  0.4975  0.0052  0.0372  0.0338  0.1058  0.05
Rosen 1989   63  0.4364  0.0069  0.0447  0.0450  0.0468  0.04
Rosenthal 1930   18  0.6035  0.0019  0.0718  0.328  0.518  0.40
Rosenthal 1931   43  0.4949  0.0048  0.0462  0.0422  0.3439  0.12
Rosenthal 1931b   54  0.4619  0.0139  0.0542  0.1023  0.2835  0.17
Rosenthal 1931c   37  0.5160  0.0037  0.0635  0.1430  0.2136  0.17
Rosenthal 1931d   53  0.4724  0.0154  0.0374  0.0331  0.1654  0.07
Rossi 2007   68  0.3790  0.0061  0.0369  0.0323  0.1850  0.07
Rubinstein 1939   83  0.2218  0.0184  0.0284  0.0257  0.0574  0.03
Rubinstein 1952   82  0.2678  0.0085  0.0286  0.0274  0.0389  0.02
Rubinstein 1966   74  0.3447  0.0080  0.0368  0.0368  0.0479  0.03
Schilhawsky 1960   20  0.5979  0.0020  0.0714  0.3522  0.2916  0.32
Shebanova 2002   81  0.2663  0.0082  0.0366  0.0386  0.0285  0.02
Smith 1975   28  0.5487  0.0036  0.0431  0.1846  0.0643  0.10
Sokolov 2002   5  0.6814  0.027  0.144  0.4915  0.434  0.46
Sztompka 1959   49  0.4822  0.0160  0.0460  0.0444  0.1352  0.07
Tomsic 1995   44  0.4933  0.0040  0.0539  0.1142  0.0944  0.10
Uninsky 1932   15  0.629  0.0217  0.0710  0.384  0.515  0.44
Uninsky 1971   30  0.5482  0.0044  0.0543  0.0933  0.2737  0.16
Wasowski 1980   27  0.5726  0.0143  0.0540  0.1016  0.3132  0.18
Zak 1937   24  0.5765  0.0022  0.0719  0.3129  0.2521  0.28
Zak 1951   17  0.6123  0.0118  0.0613  0.3622  0.3313  0.34
Random 1   90  -0.1483  0.0089  0.0189  0.0157  0.0487  0.02
Random 2   89  -0.1184  0.0088  0.0187  0.0159  0.0386  0.02
Random 3   88  -0.1162  0.0087  0.0188  0.0170  0.0388  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).