Lushtak 2004

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   67  0.2178  0.0076  0.0474  0.0485  0.0385  0.03
Anderszewski 2003   34  0.2918  0.0116  0.1815  0.4413  0.5410  0.49
Ashkenazy 1981   43  0.2838  0.0031  0.0739  0.1346  0.0937  0.11
Bacha 2000   52  0.2663  0.0064  0.0563  0.0561  0.0559  0.05
Badura 1965   69  0.2057  0.0022  0.0830  0.2035  0.2822  0.24
Barbosa 1983   7  0.436  0.0510  0.1219  0.3932  0.3219  0.35
Biret 1990   80  0.1675  0.0074  0.0475  0.0456  0.0576  0.04
Blet 2003   73  0.1942  0.0059  0.0650  0.0657  0.0655  0.06
Block 1995   11  0.375  0.065  0.1312  0.5036  0.3516  0.42
Blumental 1952   45  0.2739  0.0038  0.0537  0.1549  0.0646  0.09
Boshniakovich 1969   5  0.443  0.124  0.203  0.6919  0.535  0.60
Brailowsky 1960   48  0.2640  0.0055  0.0567  0.0544  0.1248  0.08
Bunin 1987   40  0.2870  0.0036  0.0633  0.1959  0.0541  0.10
Bunin 1987b   39  0.2885  0.0035  0.0532  0.1958  0.0636  0.11
Chiu 1999   16  0.3521  0.0041  0.0544  0.1066  0.0551  0.07
Cohen 1997   15  0.3536  0.0020  0.1118  0.4128  0.4417  0.42
Cortot 1951   32  0.2944  0.0044  0.0441  0.1137  0.2627  0.17
Csalog 1996   58  0.2314  0.0142  0.0445  0.0968  0.0552  0.07
Czerny 1949   85  0.1186  0.0089  0.0282  0.0259  0.0584  0.03
Czerny 1990   83  0.1487  0.0087  0.0283  0.0285  0.0291  0.02
Duchoud 2007   25  0.3188  0.0025  0.0528  0.2152  0.0732  0.12
Ezaki 2006   29  0.2947  0.0049  0.0554  0.0543  0.2039  0.10
Falvay 1989   31  0.2954  0.0029  0.0531  0.2056  0.0540  0.10
Farrell 1958   14  0.3511  0.0111  0.1316  0.4410  0.5211  0.48
Ferenczy 1958   61  0.2329  0.0047  0.0651  0.0633  0.5524  0.18
Fliere 1977   28  0.3051  0.0037  0.0534  0.1871  0.0447  0.08
Fou 1978   9  0.3812  0.018  0.167  0.5917  0.458  0.52
Francois 1956   76  0.1845  0.0066  0.0568  0.0559  0.0477  0.04
Friedman 1923   33  0.2979  0.0043  0.0442  0.1151  0.0945  0.10
Friedman 1923b   47  0.2780  0.0052  0.0652  0.0658  0.0758  0.06
Friedman 1930   37  0.2828  0.0048  0.0558  0.0550  0.0856  0.06
Garcia 2007   44  0.2781  0.0028  0.0726  0.2551  0.0633  0.12
Garcia 2007b   78  0.1716  0.0139  0.0638  0.1347  0.0844  0.10
Gierzod 1998   12  0.3717  0.0113  0.139  0.5913  0.654  0.62
Gornostaeva 1994   46  0.2753  0.0060  0.0562  0.0551  0.0665  0.05
Groot 1988   77  0.1749  0.0080  0.0566  0.0587  0.0287  0.03
Harasiewicz 1955   24  0.3250  0.0062  0.0647  0.0675  0.0466  0.05
Hatto 1993   81  0.1589  0.0085  0.0289  0.0280  0.0488  0.03
Hatto 1997   70  0.1971  0.0077  0.0379  0.0381  0.0383  0.03
Horowitz 1949   66  0.2122  0.0070  0.0378  0.0355  0.0672  0.04
Indjic 1988   84  0.1382  0.0086  0.0285  0.0279  0.0482  0.03
Kapell 1951   36  0.2883  0.0051  0.0560  0.0564  0.0561  0.05
Kissin 1993   22  0.3348  0.0015  0.1911  0.5230  0.479  0.49
Kushner 1989   4  0.4515  0.019  0.136  0.6019  0.506  0.55
Luisada 1991   63  0.2190  0.0073  0.0472  0.0481  0.0468  0.04
Lushtak 2004   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Malcuzynski 1961   2  0.482  0.163  0.232  0.738  0.641  0.68
Magaloff 1978   18  0.3410  0.0114  0.1310  0.5232  0.3713  0.44
Magin 1975   75  0.1866  0.0079  0.0564  0.0554  0.0753  0.06
Michalowski 1933   87  0.0876  0.0088  0.0284  0.0279  0.0481  0.03
Milkina 1970   88  0.0784  0.0084  0.0288  0.0282  0.0390  0.02
Mohovich 1999   13  0.357  0.0417  0.1324  0.2838  0.2321  0.25
Moravec 1969   64  0.2124  0.0067  0.0473  0.0482  0.0378  0.03
Morozova 2008   19  0.3419  0.0140  0.0540  0.1261  0.0549  0.08
Neighaus 1950   27  0.3027  0.0034  0.0725  0.2670  0.0442  0.10
Niedzielski 1931   62  0.2272  0.0068  0.0470  0.0461  0.0571  0.04
Ohlsson 1999   49  0.2659  0.0053  0.0471  0.0445  0.0854  0.06
Osinska 1989   35  0.2826  0.0033  0.0636  0.1842  0.1328  0.15
Pachmann 1927   50  0.2655  0.0054  0.0565  0.0573  0.0563  0.05
Paderewski 1930   54  0.2531  0.0032  0.0727  0.2346  0.0731  0.13
Perlemuter 1992   51  0.2661  0.0056  0.0553  0.0577  0.0469  0.04
Pierdomenico 2008   53  0.2534  0.0071  0.0561  0.0562  0.0470  0.04
Poblocka 1999   41  0.2830  0.0021  0.0922  0.3262  0.0530  0.13
Rabcewiczowa 1932   56  0.2591  0.0061  0.0746  0.0742  0.1735  0.11
Rachmaninoff 1923   79  0.1767  0.0075  0.0380  0.0382  0.0379  0.03
Rangell 2001   17  0.3413  0.0112  0.1314  0.4621  0.3818  0.42
Richter 1976   23  0.3377  0.0050  0.0555  0.0569  0.0562  0.05
Rosen 1989   20  0.3456  0.0023  0.0820  0.3858  0.0434  0.12
Rosenthal 1930   82  0.1473  0.0082  0.0286  0.0270  0.0486  0.03
Rosenthal 1931   30  0.2946  0.0027  0.0821  0.3320  0.5914  0.44
Rosenthal 1931b   26  0.3174  0.0026  0.0523  0.3117  0.6315  0.44
Rosenthal 1931c   57  0.2437  0.0058  0.0557  0.0540  0.2243  0.10
Rosenthal 1931d   68  0.2068  0.0063  0.0556  0.0540  0.2438  0.11
Rossi 2007   59  0.2320  0.0124  0.0635  0.184  0.6420  0.34
Rubinstein 1939   72  0.1958  0.0078  0.0476  0.0482  0.0380  0.03
Rubinstein 1952   60  0.2332  0.0057  0.0649  0.0662  0.0567  0.05
Rubinstein 1966   3  0.451  0.261  0.268  0.598  0.507  0.54
Schilhawsky 1960   21  0.339  0.0219  0.1217  0.4216  0.4812  0.45
Shebanova 2002   10  0.3823  0.0018  0.1213  0.4664  0.0725  0.18
Smith 1975   38  0.2841  0.0045  0.0543  0.1037  0.2329  0.15
Sokolov 2002   86  0.1169  0.0081  0.0381  0.0389  0.0189  0.02
Sztompka 1959   74  0.1843  0.0069  0.0477  0.0464  0.0573  0.04
Tomsic 1995   65  0.2152  0.0030  0.0629  0.2137  0.1523  0.18
Uninsky 1932   55  0.2564  0.0065  0.0648  0.0675  0.0464  0.05
Uninsky 1971   42  0.2833  0.0046  0.0559  0.0575  0.0374  0.04
Wasowski 1980   71  0.1935  0.0072  0.0569  0.0560  0.0560  0.05
Zak 1937   8  0.438  0.037  0.165  0.6111  0.663  0.63
Zak 1951   6  0.4425  0.006  0.144  0.618  0.682  0.64
Average   1  0.504  0.092  0.181  0.7371  0.0426  0.17
Random 1   91  -0.0165  0.0090  0.0190  0.0141  0.1475  0.04
Random 2   89  0.0562  0.0083  0.0287  0.0226  0.3050  0.08
Random 3   90  -0.0160  0.0091  0.0191  0.0116  0.4157  0.06

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).