Poblocka 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   5  0.812  0.132  0.153  0.606  0.523  0.56
Anderszewski 2003   42  0.6150  0.0038  0.0642  0.1336  0.2140  0.17
Ashkenazy 1981   63  0.5241  0.0032  0.0630  0.2724  0.2833  0.27
Bacha 2000   83  0.3559  0.0065  0.0552  0.0546  0.0663  0.05
Badura 1965   28  0.6744  0.0022  0.0522  0.3611  0.5319  0.44
Barbosa 1983   85  0.2865  0.0075  0.0384  0.0372  0.0484  0.03
Biret 1990   67  0.4860  0.0064  0.0649  0.0653  0.0568  0.05
Blet 2003   23  0.6967  0.0046  0.0746  0.0713  0.3844  0.16
Block 1995   40  0.6238  0.0049  0.0559  0.0526  0.1953  0.10
Blumental 1952   71  0.4427  0.0129  0.0532  0.2320  0.2137  0.22
Boshniakovich 1969   10  0.7825  0.0115  0.1514  0.478  0.5511  0.51
Brailowsky 1960   79  0.4233  0.0073  0.0475  0.0454  0.0470  0.04
Bunin 1987   43  0.5985  0.0037  0.0639  0.1613  0.4734  0.27
Bunin 1987b   47  0.5971  0.0036  0.0638  0.1613  0.4732  0.27
Chiu 1999   80  0.3868  0.0061  0.0561  0.0562  0.0471  0.04
Cohen 1997   87  0.1580  0.0076  0.0381  0.0356  0.0487  0.03
Cortot 1951   29  0.6651  0.0030  0.0633  0.2319  0.4130  0.31
Csalog 1996   48  0.5924  0.0143  0.0644  0.118  0.4336  0.22
Czerny 1949   11  0.7681  0.0013  0.1411  0.4919  0.4713  0.48
Czerny 1990   35  0.6473  0.0052  0.0466  0.0478  0.0388  0.03
Duchoud 2007   64  0.5077  0.0054  0.0468  0.0423  0.2652  0.10
Ezaki 2006   41  0.6123  0.0156  0.0553  0.0542  0.0857  0.06
Falvay 1989   84  0.3530  0.0086  0.0383  0.0354  0.0764  0.05
Farrell 1958   78  0.4231  0.0071  0.0377  0.0382  0.0383  0.03
Ferenczy 1958   20  0.7018  0.0126  0.0621  0.372  0.5517  0.45
Fliere 1977   4  0.814  0.074  0.171  0.615  0.484  0.54
Fou 1978   44  0.5948  0.0040  0.0737  0.1728  0.2138  0.19
Francois 1956   62  0.5562  0.0066  0.0747  0.0749  0.0562  0.06
Friedman 1923   49  0.5878  0.0055  0.0563  0.0536  0.3348  0.13
Friedman 1923b   50  0.5887  0.0053  0.0565  0.0536  0.3347  0.13
Friedman 1930   55  0.5879  0.0063  0.0560  0.0543  0.1554  0.09
Garcia 2007   25  0.6855  0.0031  0.0529  0.2921  0.3628  0.32
Garcia 2007b   31  0.6672  0.0023  0.0627  0.3424  0.3524  0.34
Gierzod 1998   6  0.807  0.058  0.224  0.5610  0.517  0.53
Gornostaeva 1994   51  0.5875  0.0067  0.0648  0.0649  0.0661  0.06
Groot 1988   72  0.4452  0.0069  0.0554  0.0560  0.0569  0.05
Harasiewicz 1955   16  0.7322  0.019  0.117  0.547  0.508  0.52
Hatto 1993   54  0.5815  0.0135  0.1226  0.3422  0.3029  0.32
Hatto 1997   46  0.5954  0.0033  0.0624  0.3420  0.3327  0.33
Horowitz 1949   19  0.7076  0.0024  0.0628  0.328  0.5221  0.41
Indjic 1988   45  0.5970  0.0034  0.1023  0.3420  0.3326  0.33
Kapell 1951   12  0.763  0.105  0.169  0.523  0.4512  0.48
Kissin 1993   3  0.815  0.067  0.155  0.555  0.545  0.54
Kushner 1989   17  0.7111  0.0225  0.0631  0.2527  0.3031  0.27
Luisada 1991   39  0.6235  0.0048  0.0651  0.0653  0.0658  0.06
Lushtak 2004   60  0.5653  0.0039  0.0636  0.1732  0.1741  0.17
Malcuzynski 1961   52  0.5813  0.0262  0.0564  0.0543  0.1355  0.08
Magaloff 1978   76  0.4356  0.0080  0.0286  0.0268  0.0482  0.03
Magin 1975   15  0.7412  0.0218  0.0918  0.4218  0.4020  0.41
Michalowski 1933   14  0.7421  0.0117  0.1915  0.465  0.579  0.51
Milkina 1970   33  0.6414  0.0250  0.0650  0.0658  0.0467  0.05
Mohovich 1999   53  0.5832  0.0042  0.0640  0.1439  0.2142  0.17
Moravec 1969   77  0.4366  0.0082  0.0287  0.0267  0.0480  0.03
Morozova 2008   27  0.6728  0.0127  0.0634  0.2327  0.2735  0.25
Neighaus 1950   22  0.7016  0.0111  0.1010  0.4913  0.4615  0.47
Niedzielski 1931   24  0.6882  0.0045  0.0562  0.0534  0.2549  0.11
Ohlsson 1999   38  0.628  0.0412  0.1116  0.4511  0.4616  0.45
Osinska 1989   26  0.6745  0.0028  0.0535  0.1943  0.1343  0.16
Pachmann 1927   37  0.6342  0.0059  0.0555  0.057  0.4645  0.15
Paderewski 1930   59  0.5749  0.0051  0.0471  0.0429  0.2451  0.10
Perlemuter 1992   34  0.6469  0.0021  0.0525  0.3417  0.3325  0.33
Pierdomenico 2008   75  0.4358  0.0072  0.0378  0.0347  0.0673  0.04
Poblocka 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rabcewiczowa 1932   57  0.5737  0.0060  0.0556  0.0550  0.0566  0.05
Rachmaninoff 1923   56  0.5774  0.0057  0.0472  0.0456  0.0472  0.04
Rangell 2001   73  0.4426  0.0170  0.0558  0.0542  0.1356  0.08
Richter 1976   8  0.7910  0.0210  0.1113  0.471  0.672  0.56
Rosen 1989   30  0.6640  0.0047  0.0557  0.0544  0.0760  0.06
Rosenthal 1930   32  0.6561  0.0058  0.0467  0.0412  0.3350  0.11
Rosenthal 1931   66  0.4886  0.0083  0.0385  0.0375  0.0485  0.03
Rosenthal 1931b   68  0.4788  0.0084  0.0376  0.0357  0.0578  0.04
Rosenthal 1931c   65  0.5043  0.0074  0.0380  0.0368  0.0489  0.03
Rosenthal 1931d   69  0.4783  0.0085  0.0474  0.0457  0.0577  0.04
Rossi 2007   86  0.2747  0.0087  0.0473  0.0478  0.0381  0.03
Rubinstein 1939   74  0.4334  0.0077  0.0379  0.0350  0.0674  0.04
Rubinstein 1952   82  0.3617  0.0179  0.0470  0.0464  0.0579  0.04
Rubinstein 1966   81  0.3736  0.0078  0.0469  0.0466  0.0476  0.04
Schilhawsky 1960   2  0.841  0.141  0.146  0.553  0.601  0.57
Shebanova 2002   9  0.799  0.036  0.242  0.607  0.486  0.54
Smith 1975   58  0.5739  0.0068  0.0745  0.0772  0.0465  0.05
Sokolov 2002   61  0.5529  0.0044  0.0643  0.1222  0.2839  0.18
Sztompka 1959   13  0.7420  0.0114  0.1312  0.4813  0.4118  0.44
Tomsic 1995   70  0.4557  0.0081  0.0382  0.0356  0.0675  0.04
Uninsky 1932   7  0.8063  0.0016  0.2017  0.449  0.5014  0.47
Uninsky 1971   1  0.856  0.053  0.188  0.544  0.4910  0.51
Wasowski 1980   36  0.6419  0.0141  0.0641  0.1437  0.1346  0.13
Zak 1937   18  0.7146  0.0019  0.0719  0.4218  0.3122  0.36
Zak 1951   21  0.7064  0.0020  0.0520  0.4119  0.3023  0.35
Random 1   88  -0.1484  0.0089  0.0189  0.0143  0.0986  0.03
Random 2   89  -0.1589  0.0088  0.0288  0.0228  0.1859  0.06
Random 3   90  -0.2390  0.0090  0.0190  0.0157  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).