Block 1995

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   82  0.2164  0.0077  0.0375  0.0382  0.0385  0.03
Anderszewski 2003   9  0.4427  0.0018  0.1011  0.5913  0.617  0.60
Ashkenazy 1981   44  0.3654  0.0047  0.0654  0.0638  0.2251  0.11
Bacha 2000   70  0.2749  0.0074  0.0376  0.0351  0.0571  0.04
Badura 1965   57  0.3466  0.0059  0.0557  0.0521  0.3449  0.13
Barbosa 1983   20  0.4112  0.0115  0.1118  0.5021  0.4119  0.45
Biret 1990   68  0.2861  0.0075  0.0462  0.0454  0.0579  0.04
Blet 2003   55  0.3434  0.0057  0.0846  0.0835  0.2445  0.14
Block 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blumental 1952   31  0.3916  0.0121  0.1116  0.5121  0.4914  0.50
Boshniakovich 1969   24  0.4035  0.0022  0.1020  0.4927  0.3223  0.40
Brailowsky 1960   12  0.447  0.038  0.1217  0.5114  0.6310  0.57
Bunin 1987   69  0.2875  0.0069  0.0470  0.0454  0.0670  0.05
Bunin 1987b   72  0.2788  0.0070  0.0560  0.0560  0.0474  0.04
Chiu 1999   46  0.3646  0.0053  0.0747  0.0745  0.0664  0.06
Cohen 1997   74  0.2572  0.0081  0.0387  0.0356  0.0577  0.04
Cortot 1951   50  0.3514  0.0130  0.0836  0.2118  0.4831  0.32
Csalog 1996   37  0.3742  0.0055  0.0750  0.0735  0.1553  0.10
Czerny 1949   86  0.1990  0.0086  0.0385  0.0380  0.0384  0.03
Czerny 1990   41  0.3780  0.0043  0.0742  0.1345  0.0856  0.10
Duchoud 2007   85  0.1965  0.0085  0.0383  0.0372  0.0486  0.03
Ezaki 2006   21  0.4128  0.0028  0.1029  0.3235  0.4028  0.36
Falvay 1989   23  0.4024  0.0017  0.1115  0.5226  0.3421  0.42
Farrell 1958   81  0.2173  0.0082  0.0386  0.0376  0.0383  0.03
Ferenczy 1958   64  0.3125  0.0048  0.0558  0.0527  0.5542  0.17
Fliere 1977   1  0.532  0.232  0.342  0.7910  0.652  0.72
Fou 1978   8  0.4422  0.009  0.116  0.6517  0.528  0.58
Francois 1956   83  0.2068  0.0087  0.0472  0.0482  0.0387  0.03
Friedman 1923   28  0.4023  0.0037  0.0734  0.2615  0.5427  0.37
Friedman 1923b   26  0.4062  0.0032  0.0828  0.3517  0.5520  0.44
Friedman 1930   45  0.3657  0.0052  0.0652  0.0641  0.1261  0.08
Garcia 2007   48  0.3670  0.0040  0.0643  0.1220  0.4037  0.22
Garcia 2007b   80  0.2281  0.0078  0.0374  0.0374  0.0488  0.03
Gierzod 1998   51  0.3551  0.0024  0.0927  0.3531  0.2832  0.31
Gornostaeva 1994   25  0.4036  0.0033  0.0832  0.3023  0.4725  0.38
Groot 1988   29  0.4052  0.0027  0.0925  0.4236  0.2133  0.30
Harasiewicz 1955   2  0.534  0.104  0.223  0.7415  0.525  0.62
Hatto 1993   40  0.3774  0.0041  0.0740  0.1656  0.0752  0.11
Hatto 1997   71  0.2782  0.0062  0.0466  0.0480  0.0476  0.04
Horowitz 1949   63  0.3155  0.0063  0.0561  0.0534  0.3448  0.13
Indjic 1988   56  0.3484  0.0051  0.0556  0.0552  0.0668  0.05
Kapell 1951   30  0.3920  0.0031  0.0831  0.3032  0.2336  0.26
Kissin 1993   10  0.4410  0.0213  0.118  0.6219  0.586  0.60
Kushner 1989   22  0.4147  0.0016  0.1014  0.5432  0.2922  0.40
Luisada 1991   49  0.3553  0.0060  0.0559  0.0560  0.0665  0.05
Lushtak 2004   14  0.4332  0.0019  0.0924  0.4721  0.4717  0.47
Malcuzynski 1961   13  0.4411  0.0210  0.127  0.6520  0.4912  0.56
Magaloff 1978   7  0.4721  0.007  0.1121  0.4815  0.4816  0.48
Magin 1975   58  0.3440  0.0056  0.0845  0.0847  0.0663  0.07
Michalowski 1933   75  0.2569  0.0065  0.0473  0.0460  0.0667  0.05
Milkina 1970   78  0.2389  0.0076  0.0467  0.0461  0.0573  0.04
Mohovich 1999   3  0.523  0.133  0.261  0.803  0.751  0.77
Moravec 1969   16  0.438  0.0214  0.1122  0.4810  0.4915  0.48
Morozova 2008   59  0.3386  0.0058  0.0463  0.0468  0.0475  0.04
Neighaus 1950   43  0.365  0.0429  0.0933  0.2628  0.3235  0.29
Niedzielski 1931   54  0.3467  0.0049  0.0651  0.0624  0.3444  0.14
Ohlsson 1999   33  0.3930  0.0025  0.0926  0.4125  0.3230  0.36
Osinska 1989   11  0.4418  0.0126  0.1223  0.4831  0.3024  0.38
Pachmann 1927   47  0.3645  0.0054  0.0749  0.0722  0.4441  0.18
Paderewski 1930   77  0.2359  0.0066  0.0468  0.0442  0.2159  0.09
Perlemuter 1992   32  0.3913  0.0136  0.0735  0.2612  0.5226  0.37
Pierdomenico 2008   73  0.2658  0.0079  0.0380  0.0355  0.0482  0.03
Poblocka 1999   4  0.511  0.261  0.255  0.683  0.693  0.68
Rabcewiczowa 1932   52  0.3515  0.0135  0.0837  0.2128  0.4134  0.29
Rachmaninoff 1923   39  0.3744  0.0046  0.0748  0.0736  0.2447  0.13
Rangell 2001   60  0.3256  0.0061  0.0464  0.0453  0.0578  0.04
Richter 1976   6  0.4829  0.0011  0.1010  0.5920  0.5611  0.57
Rosen 1989   18  0.4217  0.0120  0.0912  0.5717  0.3918  0.47
Rosenthal 1930   65  0.3077  0.0073  0.0377  0.0333  0.3254  0.10
Rosenthal 1931   76  0.2550  0.0072  0.0384  0.0328  0.4250  0.11
Rosenthal 1931b   87  0.1931  0.0084  0.0382  0.0352  0.0581  0.04
Rosenthal 1931c   66  0.3043  0.0068  0.0471  0.0431  0.2457  0.10
Rosenthal 1931d   84  0.2085  0.0083  0.0378  0.0360  0.0580  0.04
Rossi 2007   79  0.2239  0.0080  0.0379  0.0333  0.2658  0.09
Rubinstein 1939   67  0.2883  0.0067  0.0469  0.0466  0.0472  0.04
Rubinstein 1952   17  0.4326  0.0012  0.1013  0.5614  0.5513  0.55
Rubinstein 1966   15  0.4371  0.0023  0.1019  0.5049  0.0739  0.19
Schilhawsky 1960   62  0.3178  0.0071  0.0381  0.0345  0.0869  0.05
Shebanova 2002   5  0.486  0.035  0.274  0.7111  0.574  0.64
Smith 1975   61  0.3279  0.0064  0.0465  0.0446  0.0766  0.05
Sokolov 2002   53  0.3437  0.0050  0.0655  0.0635  0.2746  0.13
Sztompka 1959   19  0.419  0.026  0.129  0.6117  0.559  0.58
Tomsic 1995   36  0.3848  0.0034  0.1030  0.3118  0.4129  0.36
Uninsky 1932   35  0.3819  0.0138  0.0839  0.1733  0.2240  0.19
Uninsky 1971   42  0.3633  0.0042  0.0641  0.1562  0.0560  0.09
Wasowski 1980   38  0.3741  0.0045  0.0653  0.0644  0.0962  0.07
Zak 1937   27  0.4060  0.0039  0.0638  0.1934  0.2038  0.19
Zak 1951   34  0.3938  0.0044  0.0644  0.1235  0.1943  0.15
Random 1   88  0.0187  0.0088  0.0288  0.023  0.5155  0.10
Random 2   89  -0.0163  0.0089  0.0189  0.0160  0.0589  0.02
Random 3   90  -0.0676  0.0090  0.0190  0.0153  0.0490  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).