Badura 1965

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   2  0.651  0.231  0.231  0.6312  0.371  0.48
Anderszewski 2003   69  0.3523  0.0174  0.0371  0.0375  0.0376  0.03
Ashkenazy 1981   32  0.5370  0.0020  0.1120  0.3744  0.1128  0.20
Bacha 2000   85  0.1432  0.0086  0.0287  0.0283  0.0286  0.02
Badura 1965   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Barbosa 1983   25  0.5584  0.0031  0.0725  0.3131  0.2915  0.30
Biret 1990   59  0.4157  0.0057  0.0469  0.0478  0.0381  0.03
Blet 2003   8  0.619  0.035  0.153  0.6020  0.343  0.45
Block 1995   70  0.3548  0.0079  0.0370  0.0374  0.0379  0.03
Blumental 1952   66  0.3746  0.0065  0.0462  0.0459  0.0464  0.04
Boshniakovich 1969   19  0.5716  0.0232  0.0731  0.2828  0.2120  0.24
Brailowsky 1960   71  0.3367  0.0082  0.0284  0.0280  0.0469  0.03
Bunin 1987   37  0.5160  0.0037  0.0638  0.2156  0.0542  0.10
Bunin 1987b   36  0.5166  0.0038  0.0737  0.2155  0.0539  0.10
Chiu 1999   62  0.4027  0.0158  0.0451  0.0465  0.0455  0.04
Cohen 1997   84  0.1749  0.0080  0.0378  0.0366  0.0380  0.03
Cortot 1951   18  0.575  0.0421  0.0921  0.3623  0.3212  0.34
Csalog 1996   68  0.3663  0.0059  0.0456  0.0434  0.2540  0.10
Czerny 1949   6  0.6185  0.0024  0.0823  0.3241  0.1327  0.20
Czerny 1990   4  0.6475  0.0012  0.089  0.5044  0.0924  0.21
Duchoud 2007   24  0.5530  0.0010  0.0910  0.4933  0.2510  0.35
Ezaki 2006   1  0.668  0.034  0.154  0.5930  0.1813  0.33
Falvay 1989   46  0.4943  0.0054  0.0459  0.0457  0.0456  0.04
Farrell 1958   75  0.2868  0.0083  0.0281  0.0285  0.0389  0.02
Ferenczy 1958   67  0.3738  0.0063  0.0466  0.0448  0.0563  0.04
Fliere 1977   7  0.6137  0.0011  0.088  0.5343  0.1218  0.25
Fou 1978   53  0.4454  0.0029  0.0634  0.2244  0.1231  0.16
Francois 1956   34  0.5258  0.0047  0.0453  0.0463  0.0467  0.04
Friedman 1923   81  0.2051  0.0069  0.0467  0.0422  0.3436  0.12
Friedman 1923b   83  0.2086  0.0070  0.0464  0.0425  0.3238  0.11
Friedman 1930   65  0.3929  0.0056  0.0458  0.0444  0.0850  0.06
Garcia 2007   86  0.1376  0.0084  0.0286  0.0275  0.0390  0.02
Garcia 2007b   89  0.0577  0.0090  0.0190  0.0188  0.0191  0.01
Gierzod 1998   48  0.4736  0.0052  0.0457  0.0470  0.0378  0.03
Gornostaeva 1994   27  0.5465  0.0027  0.0624  0.3243  0.1030  0.18
Groot 1988   33  0.5234  0.0043  0.0644  0.1151  0.0548  0.07
Harasiewicz 1955   20  0.5747  0.0034  0.0627  0.3140  0.1426  0.21
Hatto 1993   82  0.2042  0.0062  0.0646  0.0649  0.0453  0.05
Hatto 1997   79  0.2440  0.0061  0.0463  0.0471  0.0377  0.03
Horowitz 1949   57  0.4264  0.0066  0.0468  0.0472  0.0374  0.03
Indjic 1988   80  0.2169  0.0060  0.0452  0.0447  0.0561  0.04
Kapell 1951   56  0.4387  0.0064  0.0454  0.0454  0.0557  0.04
Kissin 1993   23  0.5531  0.0028  0.0626  0.3143  0.1422  0.21
Kushner 1989   13  0.6017  0.029  0.082  0.6017  0.362  0.46
Luisada 1991   73  0.3274  0.0071  0.0373  0.0374  0.0368  0.03
Lushtak 2004   21  0.5614  0.028  0.0817  0.4143  0.1123  0.21
Malcuzynski 1961   14  0.5935  0.0013  0.116  0.5540  0.1217  0.26
Magaloff 1978   49  0.4753  0.0053  0.0461  0.0468  0.0371  0.03
Magin 1975   60  0.4128  0.0144  0.0643  0.1263  0.0349  0.06
Michalowski 1933   64  0.3991  0.0068  0.0465  0.0461  0.0560  0.04
Milkina 1970   52  0.4582  0.0050  0.0455  0.0466  0.0458  0.04
Mohovich 1999   39  0.5090  0.0049  0.0549  0.0564  0.0366  0.04
Moravec 1969   40  0.5024  0.0148  0.0548  0.0549  0.0454  0.04
Morozova 2008   11  0.603  0.076  0.1011  0.4732  0.1516  0.27
Neighaus 1950   45  0.4983  0.0046  0.0547  0.0583  0.0283  0.03
Niedzielski 1931   78  0.2672  0.0085  0.0282  0.0283  0.0288  0.02
Ohlsson 1999   31  0.5352  0.0040  0.0832  0.2446  0.0834  0.14
Osinska 1989   9  0.6039  0.0022  0.0819  0.3836  0.1619  0.25
Pachmann 1927   74  0.2941  0.0075  0.0379  0.0352  0.0559  0.04
Paderewski 1930   43  0.4922  0.0151  0.0460  0.0456  0.0375  0.03
Perlemuter 1992   22  0.5659  0.0035  0.0728  0.3134  0.1621  0.22
Pierdomenico 2008   61  0.4171  0.0077  0.0376  0.0386  0.0287  0.02
Poblocka 1999   41  0.4926  0.0139  0.0835  0.2253  0.0443  0.09
Rabcewiczowa 1932   44  0.4980  0.0067  0.0372  0.0356  0.0473  0.03
Rachmaninoff 1923   38  0.5120  0.0133  0.0933  0.2251  0.0444  0.09
Rangell 2001   47  0.4812  0.0214  0.0736  0.2233  0.2025  0.21
Richter 1976   55  0.446  0.0425  0.0739  0.1636  0.1135  0.13
Rosen 1989   54  0.4415  0.0226  0.0640  0.1560  0.0446  0.08
Rosenthal 1930   26  0.5510  0.037  0.0716  0.4118  0.436  0.42
Rosenthal 1931   72  0.3355  0.0073  0.0377  0.0349  0.0562  0.04
Rosenthal 1931b   77  0.2662  0.0078  0.0374  0.0358  0.0484  0.03
Rosenthal 1931c   29  0.5345  0.0016  0.0718  0.4016  0.398  0.39
Rosenthal 1931d   76  0.2688  0.0081  0.0283  0.0252  0.0582  0.03
Rossi 2007   63  0.3981  0.0076  0.0380  0.0366  0.0370  0.03
Rubinstein 1939   87  0.1233  0.0089  0.0289  0.0263  0.0472  0.03
Rubinstein 1952   58  0.4150  0.0072  0.0375  0.0363  0.0485  0.03
Rubinstein 1966   51  0.4621  0.0130  0.0630  0.2824  0.4111  0.34
Schilhawsky 1960   28  0.5444  0.0036  0.0829  0.2961  0.0437  0.11
Shebanova 2002   42  0.4956  0.0041  0.0542  0.1351  0.0645  0.09
Smith 1975   10  0.6019  0.0117  0.0814  0.4149  0.0533  0.14
Sokolov 2002   15  0.587  0.0318  0.0815  0.4129  0.339  0.37
Sztompka 1959   16  0.5713  0.0223  0.0922  0.3331  0.3014  0.31
Tomsic 1995   17  0.574  0.063  0.127  0.5422  0.335  0.42
Uninsky 1932   5  0.6325  0.0115  0.0712  0.4420  0.424  0.43
Uninsky 1971   12  0.6011  0.0319  0.1013  0.4228  0.367  0.39
Wasowski 1980   30  0.5318  0.0142  0.0641  0.1523  0.2429  0.19
Zak 1937   50  0.4661  0.0055  0.0550  0.0550  0.0651  0.05
Zak 1951   35  0.5173  0.0045  0.0545  0.0960  0.0547  0.07
Average   3  0.652  0.092  0.145  0.5754  0.0432  0.15
Random 1   91  -0.0678  0.0091  0.0191  0.0131  0.2065  0.04
Random 2   88  0.0689  0.0087  0.0285  0.022  0.5041  0.10
Random 3   90  -0.0179  0.0088  0.0288  0.0235  0.1552  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).