Ezaki 2006

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.528  0.034  0.163  0.762  0.715  0.73
Anderszewski 2003   55  0.2222  0.0031  0.0936  0.2537  0.1930  0.22
Ashkenazy 1981   60  0.2047  0.0062  0.0466  0.0475  0.0570  0.04
Bacha 2000   22  0.4024  0.0025  0.1425  0.5616  0.5322  0.54
Badura 1965   30  0.3312  0.0127  0.1328  0.4517  0.4925  0.47
Barbosa 1983   45  0.2662  0.0052  0.0750  0.0770  0.0461  0.05
Biret 1990   51  0.2315  0.0129  0.1040  0.2236  0.3427  0.27
Blet 2003   69  0.1580  0.0070  0.0375  0.0381  0.0288  0.02
Block 1995   49  0.2368  0.0046  0.1047  0.1075  0.0457  0.06
Blumental 1952   41  0.2849  0.0043  0.1037  0.2463  0.0546  0.11
Boshniakovich 1969   44  0.2650  0.0040  0.0638  0.2357  0.0644  0.12
Brailowsky 1960   8  0.4611  0.0211  0.1419  0.623  0.7511  0.68
Bunin 1987   63  0.2058  0.0059  0.0656  0.0645  0.1151  0.08
Bunin 1987b   62  0.2044  0.0058  0.0560  0.0545  0.1054  0.07
Chiu 1999   64  0.1890  0.0081  0.0380  0.0381  0.0372  0.03
Cohen 1997   2  0.544  0.082  0.224  0.762  0.763  0.76
Cortot 1951   16  0.4220  0.0015  0.0921  0.614  0.7216  0.66
Csalog 1996   88  0.0291  0.0091  0.0191  0.0189  0.0191  0.01
Czerny 1949   6  0.4819  0.019  0.155  0.743  0.862  0.80
Czerny 1990   80  0.1040  0.0071  0.0376  0.0365  0.0481  0.03
Duchoud 2007   66  0.1635  0.0073  0.0372  0.0378  0.0379  0.03
Ezaki 2006   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Falvay 1989   31  0.3134  0.0045  0.0945  0.1732  0.2631  0.21
Farrell 1958   38  0.2927  0.0049  0.0752  0.0755  0.0656  0.06
Ferenczy 1958   10  0.4425  0.0016  0.1022  0.602  0.878  0.72
Fliere 1977   47  0.2553  0.0047  0.1046  0.1060  0.0552  0.07
Fou 1978   26  0.3454  0.0028  0.1827  0.4645  0.1129  0.22
Francois 1956   20  0.4143  0.0019  0.1320  0.6210  0.7213  0.67
Friedman 1923   67  0.1686  0.0066  0.0469  0.0484  0.0382  0.03
Friedman 1923b   70  0.1487  0.0069  0.0373  0.0373  0.0480  0.03
Friedman 1930   52  0.2374  0.0055  0.0559  0.0561  0.0662  0.05
Garcia 2007   81  0.0975  0.0072  0.0371  0.0368  0.0569  0.04
Garcia 2007b   82  0.0869  0.0083  0.0282  0.0275  0.0390  0.02
Gierzod 1998   18  0.4221  0.0018  0.1223  0.598  0.7217  0.65
Gornostaeva 1994   19  0.4145  0.0023  0.1816  0.6417  0.6318  0.63
Groot 1988   34  0.3042  0.0034  0.0633  0.3261  0.0638  0.14
Harasiewicz 1955   35  0.3070  0.0044  0.0844  0.1863  0.0549  0.09
Hatto 1993   61  0.2029  0.0061  0.0562  0.0565  0.0664  0.05
Hatto 1997   32  0.3181  0.0037  0.0734  0.2760  0.0542  0.12
Horowitz 1949   85  0.0571  0.0084  0.0283  0.0279  0.0386  0.02
Indjic 1988   68  0.1541  0.0074  0.0468  0.0462  0.0660  0.05
Kapell 1951   90  0.0259  0.0086  0.0287  0.0283  0.0285  0.02
Kissin 1993   77  0.1123  0.0068  0.0465  0.0475  0.0567  0.04
Kushner 1989   46  0.2546  0.0054  0.0657  0.0674  0.0458  0.05
Luisada 1991   56  0.2264  0.0057  0.0753  0.0764  0.0555  0.06
Lushtak 2004   36  0.2972  0.0039  0.0643  0.2054  0.0548  0.10
Malcuzynski 1961   25  0.3539  0.0026  0.1326  0.5038  0.1926  0.31
Magaloff 1978   33  0.3038  0.0036  0.0730  0.3751  0.0635  0.15
Magin 1975   84  0.0776  0.0087  0.0285  0.0279  0.0384  0.02
Michalowski 1933   87  0.0277  0.0090  0.0290  0.0289  0.0287  0.02
Milkina 1970   50  0.2382  0.0053  0.0848  0.0842  0.1840  0.12
Mohovich 1999   23  0.387  0.0322  0.1424  0.5716  0.5023  0.53
Moravec 1969   39  0.2851  0.0033  0.0731  0.3748  0.0536  0.14
Morozova 2008   12  0.4457  0.0021  0.1412  0.6625  0.3524  0.48
Neighaus 1950   9  0.4416  0.0114  0.197  0.7315  0.4520  0.57
Niedzielski 1931   86  0.0463  0.0088  0.0289  0.0285  0.0383  0.02
Ohlsson 1999   27  0.3355  0.0030  0.0929  0.3874  0.0441  0.12
Osinska 1989   40  0.2818  0.0132  0.0839  0.2336  0.2928  0.26
Pachmann 1927   57  0.2148  0.0064  0.0558  0.0556  0.0659  0.05
Paderewski 1930   75  0.1165  0.0078  0.0374  0.0380  0.0378  0.03
Perlemuter 1992   42  0.2737  0.0041  0.0635  0.2761  0.0447  0.10
Pierdomenico 2008   72  0.1466  0.0079  0.0470  0.0476  0.0374  0.03
Poblocka 1999   37  0.2952  0.0038  0.0741  0.2145  0.1133  0.15
Rabcewiczowa 1932   7  0.463  0.126  0.138  0.6811  0.749  0.71
Rachmaninoff 1923   65  0.1856  0.0060  0.0463  0.0474  0.0373  0.03
Rangell 2001   28  0.3314  0.0124  0.2218  0.629  0.5319  0.57
Richter 1976   71  0.1488  0.0082  0.0286  0.0274  0.0477  0.03
Rosen 1989   21  0.4013  0.0117  0.1017  0.6324  0.5021  0.56
Rosenthal 1930   13  0.435  0.0410  0.1513  0.669  0.6715  0.66
Rosenthal 1931   11  0.442  0.143  0.1915  0.656  0.797  0.72
Rosenthal 1931b   15  0.4232  0.005  0.169  0.676  0.814  0.74
Rosenthal 1931c   14  0.4317  0.0112  0.2010  0.676  0.7510  0.71
Rosenthal 1931d   24  0.3610  0.0220  0.1414  0.655  0.7212  0.68
Rossi 2007   83  0.0789  0.0089  0.0288  0.0265  0.0471  0.03
Rubinstein 1939   43  0.2767  0.0051  0.0654  0.0648  0.0853  0.07
Rubinstein 1952   59  0.2026  0.0050  0.0751  0.0770  0.0465  0.05
Rubinstein 1966   29  0.3360  0.0035  0.0832  0.3252  0.0539  0.13
Schilhawsky 1960   76  0.1183  0.0085  0.0284  0.0280  0.0389  0.02
Shebanova 2002   58  0.2178  0.0063  0.0561  0.0576  0.0468  0.04
Smith 1975   1  0.561  0.341  0.341  0.812  0.821  0.81
Sokolov 2002   48  0.2336  0.0048  0.0849  0.0835  0.2934  0.15
Sztompka 1959   54  0.2233  0.0042  0.0842  0.2078  0.0350  0.08
Tomsic 1995   17  0.4228  0.0013  0.1711  0.672  0.6514  0.66
Uninsky 1932   53  0.2231  0.0056  0.0655  0.0669  0.0563  0.05
Uninsky 1971   4  0.506  0.038  0.122  0.783  0.666  0.72
Wasowski 1980   74  0.1373  0.0077  0.0381  0.0369  0.0566  0.04
Zak 1937   78  0.1084  0.0080  0.0379  0.0381  0.0375  0.03
Zak 1951   73  0.1385  0.0075  0.0377  0.0385  0.0376  0.03
Average   5  0.499  0.037  0.196  0.7468  0.0432  0.17
Random 1   89  0.0230  0.0067  0.0467  0.0415  0.3643  0.12
Random 2   79  0.1061  0.0065  0.0464  0.046  0.5137  0.14
Random 3   91  0.0079  0.0076  0.0378  0.039  0.5145  0.12

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).