Rossi 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   27  0.4527  0.0127  0.0627  0.2474  0.0336  0.08
Anderszewski 2003   17  0.4835  0.0049  0.0555  0.0582  0.0361  0.04
Ashkenazy 1981   54  0.3432  0.0060  0.0650  0.0671  0.0365  0.04
Bacha 2000   55  0.3434  0.0046  0.0654  0.0652  0.0643  0.06
Badura 1965   35  0.4278  0.0075  0.0469  0.0488  0.0280  0.03
Barbosa 1983   46  0.3917  0.0123  0.0826  0.2681  0.0329  0.09
Biret 1990   21  0.4643  0.0017  0.098  0.4862  0.0513  0.15
Blet 2003   47  0.3885  0.0036  0.0637  0.1760  0.0435  0.08
Block 1995   20  0.4729  0.0028  0.0629  0.2334  0.1710  0.20
Blumental 1952   26  0.4552  0.0034  0.0528  0.2381  0.0241  0.07
Boshniakovich 1969   30  0.4426  0.0158  0.0464  0.0483  0.0281  0.03
Brailowsky 1960   10  0.5024  0.0129  0.0638  0.1542  0.1314  0.14
Bunin 1987   83  0.1773  0.0087  0.0384  0.0385  0.0288  0.02
Bunin 1987b   86  0.1579  0.0086  0.0287  0.0285  0.0284  0.02
Chiu 1999   15  0.4865  0.0059  0.0466  0.0484  0.0368  0.03
Cohen 1997   75  0.2549  0.0064  0.0380  0.0376  0.0382  0.03
Cortot 1951   37  0.412  0.132  0.1222  0.2931  0.225  0.25
Csalog 1996   87  0.1361  0.0065  0.0472  0.0451  0.0560  0.04
Czerny 1949   25  0.4521  0.0139  0.0640  0.1383  0.0346  0.06
Czerny 1990   4  0.583  0.113  0.131  0.6656  0.0412  0.16
Duchoud 2007   77  0.2537  0.0070  0.0473  0.0480  0.0378  0.03
Ezaki 2006   1  0.599  0.046  0.114  0.5883  0.0318  0.13
Falvay 1989   8  0.5010  0.0410  0.106  0.4934  0.281  0.37
Farrell 1958   38  0.4155  0.0025  0.0720  0.3163  0.0425  0.11
Ferenczy 1958   50  0.3771  0.0053  0.0556  0.0581  0.0363  0.04
Fliere 1977   31  0.4341  0.0052  0.0653  0.0658  0.0448  0.05
Fou 1978   29  0.4475  0.0030  0.0735  0.1882  0.0339  0.07
Francois 1956   23  0.466  0.057  0.1013  0.3952  0.0517  0.14
Friedman 1923   70  0.2880  0.0069  0.0745  0.0765  0.0547  0.06
Friedman 1923b   71  0.2863  0.0068  0.0460  0.0473  0.0466  0.04
Friedman 1930   43  0.4066  0.0061  0.0470  0.0458  0.0562  0.04
Garcia 2007   42  0.4058  0.0054  0.0558  0.0559  0.0464  0.04
Garcia 2007b   48  0.3859  0.0055  0.0652  0.0668  0.0454  0.05
Gierzod 1998   57  0.3364  0.0063  0.0378  0.0367  0.0477  0.03
Gornostaeva 1994   7  0.5214  0.0113  0.115  0.4941  0.118  0.23
Groot 1988   41  0.4047  0.0021  0.0724  0.2884  0.0331  0.09
Harasiewicz 1955   3  0.597  0.0514  0.0831  0.2178  0.0337  0.08
Hatto 1993   85  0.1677  0.0081  0.0383  0.0387  0.0289  0.02
Hatto 1997   82  0.1884  0.0080  0.0476  0.0485  0.0374  0.03
Horowitz 1949   78  0.2456  0.0084  0.0475  0.0480  0.0369  0.03
Indjic 1988   84  0.1689  0.0082  0.0382  0.0388  0.0287  0.02
Kapell 1951   69  0.2970  0.0032  0.0530  0.2185  0.0333  0.08
Kissin 1993   24  0.4642  0.0041  0.0442  0.1072  0.0349  0.05
Kushner 1989   13  0.4972  0.0024  0.0818  0.3282  0.0327  0.10
Luisada 1991   9  0.5051  0.0026  0.0823  0.2858  0.0423  0.11
Lushtak 2004   36  0.4146  0.0044  0.0544  0.0971  0.0350  0.05
Malcuzynski 1961   39  0.4013  0.0119  0.0621  0.3060  0.0426  0.11
Magaloff 1978   16  0.485  0.068  0.0910  0.4536  0.182  0.28
Magin 1975   40  0.4031  0.0042  0.0543  0.1064  0.0445  0.06
Michalowski 1933   53  0.3425  0.0172  0.0477  0.0483  0.0371  0.03
Milkina 1970   34  0.4218  0.0116  0.0915  0.3761  0.0515  0.14
Mohovich 1999   19  0.4723  0.0112  0.107  0.4880  0.0321  0.12
Moravec 1969   45  0.3960  0.0015  0.0712  0.3943  0.173  0.26
Morozova 2008   14  0.4976  0.0038  0.0636  0.1782  0.0340  0.07
Neighaus 1950   52  0.3586  0.0062  0.0463  0.0483  0.0383  0.03
Niedzielski 1931   56  0.3312  0.0247  0.0651  0.0679  0.0356  0.04
Ohlsson 1999   65  0.2944  0.0074  0.0468  0.0483  0.0370  0.03
Osinska 1989   2  0.598  0.045  0.172  0.6154  0.0511  0.17
Pachmann 1927   80  0.2145  0.0085  0.0286  0.0288  0.0286  0.02
Paderewski 1930   32  0.4340  0.0050  0.0649  0.0681  0.0359  0.04
Perlemuter 1992   6  0.5633  0.0022  0.0816  0.3785  0.0324  0.11
Pierdomenico 2008   18  0.4748  0.0018  0.0819  0.3136  0.176  0.23
Poblocka 1999   79  0.2481  0.0078  0.0467  0.0475  0.0367  0.03
Rabcewiczowa 1932   12  0.504  0.104  0.1511  0.4139  0.137  0.23
Rachmaninoff 1923   11  0.5028  0.0120  0.0614  0.3766  0.0420  0.12
Rangell 2001   74  0.2582  0.0056  0.0648  0.0662  0.0453  0.05
Richter 1976   76  0.2588  0.0083  0.0385  0.0387  0.0285  0.02
Rosen 1989   22  0.4611  0.029  0.119  0.4756  0.0416  0.14
Rosenthal 1930   63  0.2969  0.0057  0.0461  0.0478  0.0379  0.03
Rosenthal 1931   59  0.3383  0.0045  0.0557  0.0536  0.1630  0.09
Rosenthal 1931b   68  0.2953  0.0051  0.0647  0.0638  0.1038  0.08
Rosenthal 1931c   64  0.2930  0.0040  0.0639  0.1547  0.0532  0.09
Rosenthal 1931d   58  0.3320  0.0148  0.0746  0.0729  0.2122  0.12
Rossi 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1939   81  0.2074  0.0077  0.0462  0.0466  0.0455  0.04
Rubinstein 1952   72  0.2868  0.0043  0.0541  0.1174  0.0442  0.07
Rubinstein 1966   61  0.3136  0.0033  0.0625  0.2674  0.0428  0.10
Schilhawsky 1960   67  0.2915  0.0171  0.0471  0.0484  0.0373  0.03
Shebanova 2002   62  0.3154  0.0073  0.0379  0.0386  0.0376  0.03
Smith 1975   5  0.571  0.141  0.143  0.5940  0.114  0.25
Sokolov 2002   51  0.3619  0.0137  0.0634  0.1886  0.0244  0.06
Sztompka 1959   33  0.4222  0.0135  0.0533  0.2084  0.0334  0.08
Tomsic 1995   49  0.3716  0.0111  0.1017  0.3643  0.129  0.21
Uninsky 1932   44  0.3967  0.0066  0.0381  0.0378  0.0375  0.03
Uninsky 1971   73  0.2687  0.0079  0.0559  0.0585  0.0272  0.03
Wasowski 1980   28  0.4462  0.0031  0.0532  0.2044  0.0919  0.13
Zak 1937   66  0.2957  0.0076  0.0465  0.0473  0.0457  0.04
Zak 1951   60  0.3239  0.0067  0.0474  0.0471  0.0458  0.04
Random 1   88  -0.1238  0.0089  0.0289  0.0240  0.1551  0.05
Random 2   90  -0.2090  0.0090  0.0190  0.0190  0.0190  0.01
Random 3   89  -0.1450  0.0088  0.0288  0.0238  0.1452  0.05

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).