Bacha 2000

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   58  0.3335  0.0058  0.0384  0.0377  0.0377  0.03
Anderszewski 2003   11  0.4321  0.019  0.095  0.5642  0.158  0.29
Ashkenazy 1981   1  0.496  0.056  0.099  0.505  0.512  0.50
Bacha 2000   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Badura 1965   65  0.3123  0.0160  0.0378  0.0374  0.0380  0.03
Barbosa 1983   26  0.3861  0.0038  0.0636  0.2464  0.0538  0.11
Biret 1990   22  0.3958  0.0047  0.0546  0.0587  0.0283  0.03
Blet 2003   29  0.3711  0.0221  0.0732  0.2623  0.2510  0.25
Block 1995   72  0.2850  0.0074  0.0375  0.0361  0.0564  0.04
Blumental 1952   8  0.4442  0.0016  0.0910  0.4963  0.0523  0.16
Boshniakovich 1969   46  0.3588  0.0065  0.0367  0.0372  0.0382  0.03
Brailowsky 1960   45  0.3531  0.0062  0.0461  0.0462  0.0556  0.04
Bunin 1987   37  0.3637  0.0035  0.0631  0.2852  0.0535  0.12
Bunin 1987b   34  0.3625  0.0132  0.0623  0.3337  0.1711  0.24
Chiu 1999   74  0.2818  0.0170  0.0460  0.0452  0.0649  0.05
Cohen 1997   44  0.3568  0.0026  0.0719  0.3911  0.354  0.37
Cortot 1951   38  0.3616  0.0133  0.0629  0.3020  0.455  0.37
Csalog 1996   60  0.3227  0.0048  0.0549  0.0573  0.0462  0.04
Czerny 1949   21  0.3989  0.0030  0.0818  0.4048  0.0721  0.17
Czerny 1990   41  0.3512  0.0219  0.0730  0.2981  0.0339  0.09
Duchoud 2007   24  0.3815  0.0128  0.0728  0.3019  0.483  0.38
Ezaki 2006   2  0.493  0.093  0.131  0.6248  0.0616  0.19
Falvay 1989   35  0.3655  0.0066  0.0380  0.0363  0.0469  0.03
Farrell 1958   5  0.451  0.301  0.303  0.5921  0.451  0.52
Ferenczy 1958   83  0.2490  0.0083  0.0286  0.0278  0.0387  0.02
Fliere 1977   16  0.414  0.085  0.1217  0.4141  0.1312  0.23
Fou 1978   18  0.4010  0.0213  0.0826  0.3260  0.0529  0.13
Francois 1956   63  0.3114  0.0118  0.0725  0.3240  0.1613  0.23
Friedman 1923   81  0.2557  0.0057  0.0373  0.0365  0.0565  0.04
Friedman 1923b   82  0.2575  0.0053  0.0458  0.0447  0.0653  0.05
Friedman 1930   86  0.1583  0.0087  0.0368  0.0385  0.0375  0.03
Garcia 2007   84  0.2263  0.0084  0.0370  0.0372  0.0479  0.03
Garcia 2007b   78  0.2779  0.0052  0.0365  0.0370  0.0484  0.03
Gierzod 1998   27  0.3743  0.0050  0.0548  0.0587  0.0278  0.03
Gornostaeva 1994   75  0.2848  0.0069  0.0369  0.0384  0.0289  0.02
Groot 1988   13  0.4220  0.0117  0.1213  0.4644  0.1014  0.21
Harasiewicz 1955   39  0.3624  0.0141  0.0838  0.2265  0.0441  0.09
Hatto 1993   10  0.4362  0.007  0.1011  0.4756  0.0524  0.15
Hatto 1997   12  0.4244  0.008  0.1012  0.4666  0.0426  0.14
Horowitz 1949   69  0.2970  0.0078  0.0457  0.0448  0.0651  0.05
Indjic 1988   14  0.4184  0.0015  0.0814  0.4358  0.0430  0.13
Kapell 1951   30  0.3740  0.0036  0.0733  0.2564  0.0537  0.11
Kissin 1993   54  0.3339  0.0076  0.0456  0.0471  0.0460  0.04
Kushner 1989   17  0.4036  0.0023  0.0722  0.3370  0.0436  0.11
Luisada 1991   73  0.2845  0.0056  0.0366  0.0376  0.0466  0.03
Lushtak 2004   50  0.3452  0.0025  0.0621  0.3858  0.0527  0.14
Malcuzynski 1961   4  0.4532  0.0012  0.118  0.5169  0.0425  0.14
Magaloff 1978   9  0.4417  0.0120  0.0715  0.4253  0.0622  0.16
Magin 1975   77  0.2785  0.0082  0.0364  0.0381  0.0370  0.03
Michalowski 1933   87  0.1386  0.0085  0.0287  0.0283  0.0286  0.02
Milkina 1970   3  0.475  0.054  0.154  0.5856  0.0617  0.19
Mohovich 1999   55  0.3328  0.0037  0.0642  0.1775  0.0444  0.08
Moravec 1969   42  0.3547  0.0061  0.0382  0.0363  0.0554  0.04
Morozova 2008   33  0.3680  0.0034  0.0627  0.3163  0.0533  0.12
Neighaus 1950   59  0.3376  0.0045  0.0645  0.0636  0.1540  0.09
Niedzielski 1931   67  0.3026  0.0159  0.0381  0.0346  0.0850  0.05
Ohlsson 1999   23  0.3922  0.0129  0.0720  0.3969  0.0432  0.12
Osinska 1989   61  0.3271  0.0055  0.0459  0.0482  0.0367  0.03
Pachmann 1927   80  0.2559  0.0081  0.0383  0.0371  0.0374  0.03
Paderewski 1930   70  0.298  0.0331  0.0639  0.2116  0.389  0.28
Perlemuter 1992   85  0.1772  0.0086  0.0285  0.0287  0.0285  0.02
Pierdomenico 2008   49  0.3573  0.0073  0.0372  0.0352  0.0559  0.04
Poblocka 1999   68  0.2938  0.0068  0.0374  0.0370  0.0557  0.04
Rabcewiczowa 1932   48  0.3533  0.0043  0.0840  0.1869  0.0442  0.08
Rachmaninoff 1923   36  0.3629  0.0027  0.0635  0.2542  0.1120  0.17
Rangell 2001   51  0.3413  0.0114  0.0724  0.3241  0.1118  0.19
Richter 1976   32  0.3753  0.0049  0.0451  0.0477  0.0373  0.03
Rosen 1989   43  0.3587  0.0063  0.0454  0.0482  0.0381  0.03
Rosenthal 1930   57  0.3364  0.0054  0.0455  0.0448  0.0652  0.05
Rosenthal 1931   76  0.2867  0.0080  0.0462  0.0453  0.0561  0.04
Rosenthal 1931b   53  0.3341  0.0064  0.0363  0.0336  0.2145  0.08
Rosenthal 1931c   28  0.379  0.0322  0.0843  0.1532  0.2219  0.18
Rosenthal 1931d   71  0.2977  0.0079  0.0452  0.0442  0.1346  0.07
Rossi 2007   62  0.3269  0.0071  0.0379  0.0366  0.0468  0.03
Rubinstein 1939   6  0.4419  0.0110  0.096  0.5439  0.186  0.31
Rubinstein 1952   15  0.4160  0.0024  0.0616  0.4155  0.0528  0.14
Rubinstein 1966   7  0.442  0.092  0.152  0.6051  0.0715  0.20
Schilhawsky 1960   25  0.3851  0.0044  0.0744  0.1473  0.0348  0.06
Shebanova 2002   64  0.3182  0.0075  0.0377  0.0385  0.0376  0.03
Smith 1975   52  0.3365  0.0051  0.0450  0.0474  0.0458  0.04
Sokolov 2002   20  0.3934  0.0040  0.0634  0.2552  0.0631  0.12
Sztompka 1959   56  0.3381  0.0042  0.0741  0.1863  0.0443  0.08
Tomsic 1995   31  0.3730  0.0046  0.0547  0.0551  0.0747  0.06
Uninsky 1932   66  0.3049  0.0039  0.0637  0.2350  0.0634  0.12
Uninsky 1971   19  0.397  0.0411  0.127  0.5141  0.177  0.29
Wasowski 1980   79  0.2578  0.0077  0.0453  0.0476  0.0555  0.04
Zak 1937   47  0.3574  0.0072  0.0376  0.0386  0.0371  0.03
Zak 1951   40  0.3646  0.0067  0.0371  0.0371  0.0472  0.03
Random 1   90  -0.1666  0.0090  0.0190  0.0186  0.0290  0.01
Random 2   88  -0.0556  0.0088  0.0288  0.0244  0.0763  0.04
Random 3   89  -0.1154  0.0089  0.0189  0.0154  0.0488  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).